From fe090b46622e89d2c33213661c8ecb4df18e62db Mon Sep 17 00:00:00 2001 From: Eli Holmes Date: Sun, 18 Feb 2024 21:15:11 -0600 Subject: [PATCH 01/11] fix various Rd notes --- R/MARSS-methods.R | 2 +- R/MARSScv.R | 2 +- man/MARSS.Rd | 6 +++--- man/MARSS_marxss.Rd | 2 +- man/MARSShatyt.Rd | 4 ++-- man/coef_marssMLE.Rd | 2 +- man/graywhales.Rd | 2 +- man/marssMODEL-class.Rd | 6 +++--- man/plankton.Rd | 2 +- man/predict_marssMLE.Rd | 2 +- man/print_marssMLE.Rd | 2 +- man/utility_functions.Rd | 2 ++ 12 files changed, 18 insertions(+), 16 deletions(-) diff --git a/R/MARSS-methods.R b/R/MARSS-methods.R index fbaa1b1e..feedccea 100644 --- a/R/MARSS-methods.R +++ b/R/MARSS-methods.R @@ -4,7 +4,7 @@ #' intended for use by users but needs to be exported so #' {marssTMB} can use it. Uses the method of a marssMLE class object. #' Will call a function such as [MARSSkem()], [MARSSoptim()] in the -#' MARSS package or `MARSStmb()` in the {marssTMB} package. +#' MARSS package or `MARSStmb()` in the marssTMB package. #' @param x a [marssMLE] object. #' @param ... additional arguments for the fitting function MARSSfit <- function(x, ...) { diff --git a/R/MARSScv.R b/R/MARSScv.R index adac6f46..036e973c 100644 --- a/R/MARSScv.R +++ b/R/MARSScv.R @@ -11,7 +11,7 @@ #' that specifies initial values for the parameters. See also [MARSS.marxss()]. #' @param method Estimation method. MARSS provides an EM algorithm (`method="kem"`) #' (see [MARSSkem()]) and the BFGS algorithm (`method="BFGS"`) -#' (see [MARSSoptim()]). Fast TMB fitting provided by the companion package {marssTMB}. +#' (see [MARSSoptim()]). Fast TMB fitting provided by the companion package marssTMB. #' @param form The equation form used in the \code{MARSS()} call. The default is "marxss". #' See [MARSS.marxss()] or [MARSS.dfa()] #' @param silent Setting to TRUE(1) suppresses printing of full error messages, warnings, diff --git a/man/MARSS.Rd b/man/MARSS.Rd index 788f63a3..7ae45ceb 100644 --- a/man/MARSS.Rd +++ b/man/MARSS.Rd @@ -41,9 +41,9 @@ The default settings for the optional arguments are set in \code{MARSSsettings.R \item{form}{ The equation form used in the \code{MARSS()} call. The default is "marxss". See \code{\link{MARSS.marxss}} or \code{\link{MARSS.dfa}}. } \item{fit}{ TRUE/FALSE Whether to fit the model to the data. If FALSE, a \code{\link{marssMLE}} object with only the model is returned. } \item{silent}{ Setting to TRUE(1) suppresses printing of full error messages, warnings, progress bars and convergence information. Setting to FALSE(0) produces error output. Setting silent=2 will produce more verbose error messages and progress information. } - \item{fun.kf}{ What Kalman filter function to use. MARSS has two: \code{\link{MARSSkfas}()} which is based on the Kalman filter in the \href{https://cran.r-project.org/package=KFAS}{KFAS} package based on Koopman and Durbin and \code{\link{MARSSkfss}()} which is a native R implementation of the Kalman filter and smoother in Shumway and Stoffer. The KFAS filter is much faster. \code{\link{MARSSkfas}()} modifies the input and output in order to output the lag-one covariance smoother needed for the EM algorithm (per page 321 in Shumway and Stoffer (2000).} + \item{fun.kf}{ What Kalman filter function to use. MARSS has two: \code{\link{MARSSkfas}()} which is based on the Kalman filter in the \href{https://cran.r-project.org/package=KFAS}{KFAS} package based on Koopman and Durbin and \code{\link{MARSSkfss}()} which is a native R implementation of the Kalman filter and smoother in Shumway and Stoffer. The KFAS filter is much faster. \code{\link{MARSSkfas}()} modifies the input and output in order to output the lag-one covariance smoother needed for the EM algorithm (per page 321 in Shumway and Stoffer (2000).} \item{control}{ Estimation options for the maximization algorithm. The typically used control options for method="kem" are below but see \code{\link{marssMLE}} for the full list of control options. Note many of these are not allowed if method="BFGS"; see \code{\link{MARSSoptim}} for the allowed control options for this method. - \itemize{ + \describe{ \item{\code{minit}}{ The minimum number of iterations to do in the maximization routine (if needed by method). If \code{method="kem"}, this is an easy way to up the iterations and see how your estimates are converging. (positive integer)} \item{\code{maxit}}{ Maximum number of iterations to be used in the maximization routine (if needed by method) (positive integer). } \item{\code{min.iter.conv.test}}{ Minimum iterations to run before testing convergence via the slope of the log parameter versus log iterations.} @@ -54,7 +54,7 @@ The default settings for the optional arguments are set in \code{MARSSsettings.R \item{\code{trace}}{ An integer specifying the level of information recorded and error-checking run during the algorithms. \code{trace=0}, specifies basic error-checking and brief error-messages; \code{trace>0} will print full error messages. In addition if trace>0, the Kalman filter output will be added to the outputted \code{marssMLE} object. Additional information recorded depends on the method of maximization. For the EM algorithm, a record of each parameter estimate for each EM iteration will be added. See \code{\link{optim}} for trace output details for the BFGS method. \code{trace=-1} will turn off most internal error-checking and most error messages. The internal error checks are time expensive so this can speed up model fitting. This is particularly useful for bootstrapping and simulation studies. It is also useful if you get an error saying that \code{MARSS()} stops in \code{\link{MARSSkfss}()} due to a \code{chol()} call. \code{MARSSkfss()} uses matrix inversions and for some models these are unstable (high condition value). \code{MARSSkfss()} is used for error-checks and does not need to be called normally. } \item{\code{safe}}{ Setting \code{safe=TRUE} runs the Kalman smoother after each parameter update rather than running the smoother only once after updated all parameters. The latter is faster but is not a strictly correct EM algorithm. In most cases, \code{safe=FALSE} (default) will not change the fits. If this setting does cause problems, you will know because you will see an error regarding the log-likelihood dropping and it will direct you to set \code{safe=TRUE}. } } } - \item{...}{ Optional arguments passed to function specified by form. } + \item{...}{ Optional arguments passed to function specified by form. } } \details{ The \code{model} argument specifies the structure of your model. There is a one-to-one correspondence between how you would write your model in matrix form on the whiteboard and how you specify the model for \code{MARSS()}. Many different types of multivariate time-series models can be converted to the MARSS form. See the \href{https://cran.r-project.org/package=MARSS/vignettes/UserGuide.pdf}{User Guide} and \href{https://cran.r-project.org/package=MARSS/vignettes/Quick_Start.pdf}{Quick Start Guide} for examples. diff --git a/man/MARSS_marxss.Rd b/man/MARSS_marxss.Rd index 11626af9..aade9a8b 100644 --- a/man/MARSS_marxss.Rd +++ b/man/MARSS_marxss.Rd @@ -31,7 +31,7 @@ The allowed arguments when \code{form="marxss"} are 1) the arguments common to a See the \href{https://cran.r-project.org/package=MARSS/vignettes/Quick_Start.pdf}{Quick Start Guide} guide or the \href{https://cran.r-project.org/package=MARSS/vignettes/UserGuide.pdf}{User Guide} for examples. The argument \code{model} must be a list. The elements in the list specify the structure for the \eqn{\mathbf{B}}{B}, \eqn{\mathbf{u}}{u}, \eqn{\mathbf{C}}{C}, \eqn{\mathbf{c}}{c}, \eqn{\mathbf{Q}}{Q}, \eqn{\mathbf{Z}}{Z}, \eqn{\mathbf{a}}{a}, \eqn{\mathbf{D}}{D}, \eqn{\mathbf{d}}{d}, \eqn{\mathbf{R}}{R}, \eqn{\mathbf{x}_0}{x0}, and \eqn{\mathbf{V}_0}{V0} in the MARXSS model (above). The list elements can have the following values: -\itemize{ +\describe{ \item{\code{Z}} {Default="identity". A text string, "identity","unconstrained", "diagonal and unequal", "diagonal and equal", "equalvarcov", or "onestate", or a length n vector of factors specifying which of the m hidden state time series correspond to which of the n observation time series. May be specified as a n x m list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric n x m matrix to use a custom fixed \eqn{\mathbf{Z}}{Z}. "onestate" gives a n x 1 matrix of 1s. "identity","unconstrained", "diagonal and unequal", "diagonal and equal", and "equalvarcov" all specify n x n matrices.} \item{\code{B}} {Default="identity". A text string, "identity", "unconstrained", "diagonal and unequal", "diagonal and equal", "equalvarcov", "zero". Can also be specified as a list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric m x m matrix to use custom fixed \eqn{\mathbf{B}}{B}, but in this case all the eigenvalues of \eqn{\mathbf{B}}{B} must fall in the unit circle.} \item{\code{U}, \code{x0}} {Default="unconstrained". A text string, "unconstrained", "equal", "unequal" or "zero". May be specified as a m x 1 list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric m x 1 matrix to use a custom fixed \eqn{\mathbf{u}}{u} or \eqn{\mathbf{x}_0}{x(0)}. Notice that \code{U} is capitalized in the \code{model} argument and output lists.} diff --git a/man/MARSShatyt.Rd b/man/MARSShatyt.Rd index 1e66c5d7..f8d3095c 100644 --- a/man/MARSShatyt.Rd +++ b/man/MARSShatyt.Rd @@ -22,10 +22,10 @@ A list with the following components (n is the number of state processes). Follo \item{ytt}{ E[Y(t) | Y(1,1:t)=y(1,1:t)] (n x T matrix). } \item{OtT}{ E[Y(t) t(Y(t)) | Y(1,1:T)=y(1,1:T)] (n x n x T array). } \item{var.ytT}{ var[Y(t) | Y(1,1:T)=y(1,1:T)] (n x n x T array). } - \item{var.EytT}{ var_X[E_{Y|x}[Y(t) | Y(1,1:T)=y(1,1:T), X(t)=x(t)]] (n x n x T array). } + \item{var.EytT}{ var_X[E_Y[Y(t) | Y(1,1:T)=y(1,1:T), X(t)=x(t)]] (n x n x T array). } \item{Ott1}{ E[Y(t) t(Y(t)) | Y(1,1:t-1)=y(1,1:t-1)] (n x n x T array). } \item{var.ytt1}{ var[Y(t) | Y(1,1:t-1)=y(1,1:t-1)] (n x n x T array). } - \item{var.Eytt1}{ var_X[E_{Y|x}[Y(t) | Y(1,1:t-1)=y(1,1:t-1), X(t)=x(t)]] (n x n x T array). } + \item{var.Eytt1}{ var_X[E_Y[Y(t) | Y(1,1:t-1)=y(1,1:t-1), X(t)=x(t)]] (n x n x T array). } \item{Ott}{ E[Y(t) t(Y(t)) | Y(1,1:t)=y(1,1:t)] (n x n x T array). } \item{yxtT}{ E[Y(t) t(X(t)) | Y(1,1:T)=y(1,1:T)] (n x m x T array). } \item{yxtt1T}{ E[Y(t) t(X(t-1)) | Y(1,1:T)=y(1,1:T)] (n x m x T array). } diff --git a/man/coef_marssMLE.Rd b/man/coef_marssMLE.Rd index 1ee9cdac..e656246c 100644 --- a/man/coef_marssMLE.Rd +++ b/man/coef_marssMLE.Rd @@ -12,7 +12,7 @@ \item{object}{ A \code{\link{marssMLE}} object. } \item{...}{ Other arguments. Not used. } \item{type}{ What to output. Default is "list". Options are - \itemize{ + \describe{ \item{ "list" }{ A list of only the estimated values in each matrix. Each model matrix has it's own list element.} \item{ "vector" }{ A vector of all the estimated values in each matrix. } \item{ "matrix" }{ A list of the parameter matrices each parameter with fixed values at their fixed values and the estimated values at their estimated values. Time-varying parameters, including d and c in a marxss form model, are returned as an array with time in the 3rd dimension. } diff --git a/man/graywhales.Rd b/man/graywhales.Rd index a79f9c17..40090b1d 100644 --- a/man/graywhales.Rd +++ b/man/graywhales.Rd @@ -31,7 +31,7 @@ data(redstart) The data are supplied as a matrix with years in the first column and counts in the second (and higher) columns. } \source{ -\itemize{ +\describe{ \item{graywhales }{ Gerber L. R., Master D. P. D. and Kareiva P. M. (1999) Gray whales and the value of monitoring data in implementing the U.S. Endangered Species Act. Conservation Biology, 13, 1215-1219.} \item{grouse }{ Hays D. W., Tirhi M. J. and Stinson D. W. (1998) Washington state status report for the sharptailed grouse. Washington Department Fish and Wildlife, Olympia, WA. 57 pp.} \item{prairiechicken }{ Peterson M. J. and Silvy N. J. (1996) Reproductive stages limiting productivity of the endangered Attwater's prairie chicken. Conservation Biology, 10, 1264-1276.} diff --git a/man/marssMODEL-class.Rd b/man/marssMODEL-class.Rd index 54c55dc4..e9e0b6be 100644 --- a/man/marssMODEL-class.Rd +++ b/man/marssMODEL-class.Rd @@ -13,7 +13,7 @@ \details{ The object has the following attributes: -\itemize{ +\describe{ \item{form}{ The form that the model object is in. } \item{par.names}{ The names of each parameter matrix in the model. } \item{model.dims}{ A list with the dimensions of all the matrices in non-vectorized form. } @@ -27,7 +27,7 @@ These attributes are set in the MARSS_form.R file, in the \code{MARSS.form()} fu Each parameter matrix in a MARSS equation can be written in vectorized form: vec(P) = f + Dp, where f is the fixed part, p are the estimated parameters, and D is the matrix that transforms the p into a vector to be added to f. An object of class \code{marssMODEL} is a list with elements: -\itemize{ +\describe{ \item{data}{ Data supplied by user. } \item{fixed}{ A list with the f row vectors for each parameter matrix. } \item{free}{ A list with the D matrices for each parameter matrix. } @@ -38,7 +38,7 @@ An object of class \code{marssMODEL} is a list with elements: For the marss form, the matrices are called: Z, A, R, B, U, Q, x0, V0. This is the form used by all internal algorithms, thus alternate forms must be transformed to marss form before fitting. For the marxss form (the default form in a \code{\link{MARSS}()} call), the matrices are called: Z, A, R, B, U, Q, D, C, d, c, x0, V0. Each form, should have a file called MARSS_form.R, with the following functions. Let foo be some form. -\itemize{ +\describe{ \item{MARSS.foo(MARSS.call)}{ This is called in \code{\link{MARSS}()} and takes the input from the \code{\link{MARSS}()} call (a list called MARSS.call) and returns that list with two model objects added. First is a model object in marss form in the $marss element and a model object in the form foo.} \item{marss_to_foo(marssMLE or marssMODEL)}{ If called with marssMODEL (in form marss), marss_to_foo returns a model in form foo. If marss_to_foo is called with a \code{\link{marssMLE}} object (which must have a $marss element by definition), it returns a $model element in form foo and all if the marssMLE object has par, par.se, par.CI, par.bias, start elements, these are also converted to foo form. The function is mainly used by print.foo which needs the par (and related) elements of a marssMLE object to be in foo form for printing.} \item{foo_to_marss(marssMODEL or marssMLE)}{ This converts marssMODEL(form=foo) to marssMODEL(form=marss). This transformation is always possible since MARSS only works for models for which this is possible. If called with marssMODEL, it returns only a \code{\link{marssMODEL}} object. If called with a \code{\link{marssMLE}} object, it adds the \code{$marss} element with a \code{\link{marssMODEL}} in "marss" form and if the par (or related) elements exists, these are converted to "marss" form. } diff --git a/man/plankton.Rd b/man/plankton.Rd index c612194d..16ee9463 100644 --- a/man/plankton.Rd +++ b/man/plankton.Rd @@ -27,7 +27,7 @@ data(lakeWAplankton) The data are provided as a matrix with time running down the rows. } \source{ -\itemize{ +\describe{ \item{\code{ivesDataLP} and \code{ivesDataByWeek}}{ Ives, A. R. Dennis, B. Cottingham, K. L. Carpenter, S. R. (2003) Estimating community stability and ecological interactions from time-series data. Ecological Monographs, 73, 301-330. } \item{\code{lakeWAplanktonTrans}}{ Hampton, S. E. Scheuerell, M. D. Schindler, D. E. (2006) Coalescence in the Lake Washington story: Interaction strengths in a planktonic food web. Limnology and Oceanography, 51, 2042-2051. } \item{\code{lakeWAplanktonRaw}}{ Adapted from the Lake Washington database of Dr. W. T. Edmondson, as funded by the Andrew Mellon Foundation; data courtesy of Dr. Daniel Schindler, University of Washington, Seattle, WA.} diff --git a/man/predict_marssMLE.Rd b/man/predict_marssMLE.Rd index 7fc09fbb..02f30451 100644 --- a/man/predict_marssMLE.Rd +++ b/man/predict_marssMLE.Rd @@ -79,7 +79,7 @@ If \code{newdata} is passed in, then the predictions are computed using \code{ne For \code{type="ytT"}, the predictions are conceptually the same as predictions returned by \code{predict.lm} for a linear regression. The confidence interval is the interval for the expected value of NEW data. The prediction interval is the interval for NEW data. Prediction intervals will always be wider (or equal if R=0) to confidence intervals. The difference is that the uncertainty in \code{predict.lm} comes from parameter uncertainty and the data error while in \code{predict.marssMLE}, the uncertainty is from \eqn{\mathbf{x}}{x} uncertainty and data error. Parameter uncertainty does not enter the interval calculations; parameters are treated as known at their point estimates. This is not specific to the MARSS package. This is how prediction and confidence intervals are presented for MARSS models in the literature, i.e. no parameter uncertainty. -\itemize{ +\describe{ \item{\code{t} in \code{newdata}:}{ If the model has time-varying parameters, \code{t} in \code{newdata} removes any ambiguity as to which parameter values (time steps) will be used for prediction. In this case, \code{t} specifies which time values of the parameters you want to use. If you leave off \code{t}, then it is assumed that \code{t} starts at the first time step in the data used to fit the original model. If the model is time-constant, \code{t} is used to set the time step values (used for plotting, etc.). } \item{The model has \eqn{\mathbf{c}}{c} and/or \eqn{\mathbf{d}}{d}:}{ \code{c} and/or \code{d} must be included in \code{newdata}. If \code{y} (new data) is not in \code{newdata}, it is assumed to be absent (all NA). That is, the default behavior if \code{y} is absent but \code{c} and/or \code{d} is present is \code{y="none"}. If you want to use the original data used to fit the model, then pass in \code{y="model"} in \code{newdata}. Pass in \code{t} in \code{newdata} if it is ambiguous which time steps of the model data to use.} \item{The model has time-varying parameters:}{ You have to pass in \code{t} in \code{newdata} to specify what parameter values to use. If any \eqn{t > T} (\eqn{T} equals the last time step in the model data), then it is assumed that you want to use the parameter values at the last time step of the original time series for values beyond the last time step. See examples. } diff --git a/man/print_marssMLE.Rd b/man/print_marssMLE.Rd index 21d8cf55..a78dcb4d 100644 --- a/man/print_marssMLE.Rd +++ b/man/print_marssMLE.Rd @@ -14,7 +14,7 @@ \item{digits}{ Number of digits for printing. } \item{...}{ Other arguments for print. } \item{what}{ What to print. Default is "fit". If you input what as a vector, print returns a list. See examples. - \itemize{ + \describe{ \item{ "model"}{ The model parameters with names for the estimated parameters. The output is customized by the form of the model that was fit. This info is in \code{ attr(x$model, "form") }. } \item{ "par" }{ A list of only the estimated values in each matrix. Each model matrix has it's own list element. Standard function: \code{coef(x)}} \item{ "start" or "inits" }{ The values that the optimization algorithm was started at. Note, \code{x$start} shows this in form="marss" while \code{print} shows it in whatever form is in \code{ attr(x$model, "form") }.} diff --git a/man/utility_functions.Rd b/man/utility_functions.Rd index 8392f4a0..f232085a 100644 --- a/man/utility_functions.Rd +++ b/man/utility_functions.Rd @@ -28,6 +28,8 @@ \alias{ pcholinv } \alias{ pchol } \alias{ vector.all.equal } +\alias{ fully.spec.x } +\alias{ marssMODEL.to.list } \keyword{internal} \title{ Utility Functions } From f0c2f8a310fd76c4c2f4e1435cb8ede0d70ee52c Mon Sep 17 00:00:00 2001 From: Eli Holmes Date: Sun, 18 Feb 2024 21:16:49 -0600 Subject: [PATCH 02/11] Update DESCRIPTION --- DESCRIPTION | 4 ++-- 1 file changed, 2 insertions(+), 2 deletions(-) diff --git a/DESCRIPTION b/DESCRIPTION index a3d2585e..b6e70cc8 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,8 +1,8 @@ Package: MARSS Type: Package Title: Multivariate Autoregressive State-Space Modeling -Version: 3.11.9 -Date: 2023-05-20 +Version: 3.11.10 +Date: 2024-02-19 Depends: R (>= 3.5.0) Imports: generics (>= 0.1.2), graphics, grDevices, KFAS (>= 1.0.1), mvtnorm, nlme, stats, utils From fbdaf2a32575cebbc7ad67bc87bc806a105e83cc Mon Sep 17 00:00:00 2001 From: Eli Holmes Date: Sun, 18 Feb 2024 22:13:17 -0600 Subject: [PATCH 03/11] clean up extra vignette detritus --- .Rbuildignore | 2 + DESCRIPTION | 2 +- NEWS.md | 3 +- R/MARSS-methods.R | 2 +- man/MARSS-package.Rd | 4 +- man/MARSS.Rd | 2 +- man/MARSS_marxss.Rd | 24 +- vignettes/EMDerivation-concordance.tex | 2 - vignettes/EMDerivation.aux | 312 -- vignettes/EMDerivation.bbl | 72 - vignettes/EMDerivation.blg | 48 - vignettes/EMDerivation.log | 232 - vignettes/EMDerivation.pdf | Bin 869206 -> 0 bytes vignettes/EMDerivation.tex | 3149 ------------- vignettes/Learning_MARSS.html | 357 -- vignettes/Quick_Start.R | 63 - vignettes/Quick_Start.html | 2072 --------- vignettes/Residuals-concordance.tex | 2 - vignettes/Residuals.aux | 109 - vignettes/Residuals.bbl | 38 - vignettes/Residuals.blg | 46 - vignettes/Residuals.log | 244 - vignettes/Residuals.pdf | Bin 593324 -> 0 bytes vignettes/Residuals.tex | 805 ---- vignettes/UserGuide.aux | 16 - vignettes/UserGuide.log | 5671 ------------------------ vignettes/UserGuide.out | 0 vignettes/UserGuide.pdf | Bin 1699234 -> 0 bytes vignettes/UserGuide.tex | 9 - vignettes/index.html | 2 +- 30 files changed, 22 insertions(+), 13266 deletions(-) delete mode 100644 vignettes/EMDerivation-concordance.tex delete mode 100644 vignettes/EMDerivation.aux delete mode 100644 vignettes/EMDerivation.bbl delete mode 100644 vignettes/EMDerivation.blg delete mode 100644 vignettes/EMDerivation.log delete mode 100644 vignettes/EMDerivation.pdf delete mode 100644 vignettes/EMDerivation.tex delete mode 100644 vignettes/Learning_MARSS.html delete mode 100644 vignettes/Quick_Start.R delete mode 100644 vignettes/Quick_Start.html delete mode 100644 vignettes/Residuals-concordance.tex delete mode 100644 vignettes/Residuals.aux delete mode 100644 vignettes/Residuals.bbl delete mode 100644 vignettes/Residuals.blg delete mode 100644 vignettes/Residuals.log delete mode 100644 vignettes/Residuals.pdf delete mode 100644 vignettes/Residuals.tex delete mode 100644 vignettes/UserGuide.aux delete mode 100644 vignettes/UserGuide.log delete mode 100644 vignettes/UserGuide.out delete mode 100644 vignettes/UserGuide.pdf delete mode 100644 vignettes/UserGuide.tex diff --git a/.Rbuildignore b/.Rbuildignore index 72c2ccc3..675b9a69 100644 --- a/.Rbuildignore +++ b/.Rbuildignore @@ -4,6 +4,8 @@ .Rhistory .RData .gitignore +.git_diff_name-only +.git_ls-tree_r_name-only_HEAD ^\.github$ License.md diff --git a/DESCRIPTION b/DESCRIPTION index b6e70cc8..a3a108b0 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,7 +1,7 @@ Package: MARSS Type: Package Title: Multivariate Autoregressive State-Space Modeling -Version: 3.11.10 +Version: 3.11.9 Date: 2024-02-19 Depends: R (>= 3.5.0) Imports: diff --git a/NEWS.md b/NEWS.md index acc52980..80b2248b 100644 --- a/NEWS.md +++ b/NEWS.md @@ -2,12 +2,13 @@ output: html_document --- -# MARSS 3.11.9 (GitHub) +# MARSS 3.11.9 (CRAN 2024-02-19) ## ENHANCEMENT * Added the error message coming from a try-error to the message printed for the user. * Updated to GPL-3 license. +* Fixed some Rd formatting errors that caused NOTEs on CRAN. # MARSS 3.11.8 (CRAN 2023-05-20) diff --git a/R/MARSS-methods.R b/R/MARSS-methods.R index feedccea..81fe7489 100644 --- a/R/MARSS-methods.R +++ b/R/MARSS-methods.R @@ -2,7 +2,7 @@ #' #' This is an internal function used by [MARSS()]. It is not #' intended for use by users but needs to be exported so -#' {marssTMB} can use it. Uses the method of a marssMLE class object. +#' the marssTMB package can use it. Uses the method of a marssMLE class object. #' Will call a function such as [MARSSkem()], [MARSSoptim()] in the #' MARSS package or `MARSStmb()` in the marssTMB package. #' @param x a [marssMLE] object. diff --git a/man/MARSS-package.Rd b/man/MARSS-package.Rd index b54fcb21..b288cf59 100644 --- a/man/MARSS-package.Rd +++ b/man/MARSS-package.Rd @@ -5,7 +5,7 @@ Multivariate Autoregressive State-Space Model Estimation } \description{ -The MARSS package fits time-varying constrained and unconstrained multivariate autoregressive time-series models to multivariate time series data. To get started quickly, go to the \href{https://cran.r-project.org/package=MARSS/vignettes/Quick_Start.pdf}{Quick Start Guide} (or at the command line, you can type \code{RShowDoc("Quick_Start", package="MARSS")}). To open the MARSS User Guide with many vignettes and examples, go to \href{https://cran.r-project.org/package=MARSS/vignettes/UserGuide.pdf}{User Guide} (or type \code{RShowDoc("UserGuide",package="MARSS")}). +The MARSS package fits time-varying constrained and unconstrained multivariate autoregressive time-series models to multivariate time series data. To get started quickly, go to the \href{https://cran.r-project.org/package=MARSS/vignettes/Quick_Start.html}{Quick Start Guide} (or at the command line, you can type \code{RShowDoc("Quick_Start", package="MARSS")}). To open the MARSS User Guide with many vignettes and examples, go to \href{https://cran.r-project.org/package=MARSS/vignettes/UserGuide.pdf}{User Guide} (or type \code{RShowDoc("UserGuide",package="MARSS")}). The default MARSS model form is a MARXSS model: Multivariate Auto-Regressive(1) eXogenous inputs State-Space model. This model has the following form: \deqn{\mathbf{x}_{t} = \mathbf{B} \mathbf{x}_{t-1} + \mathbf{u} + \mathbf{C} \mathbf{c}_{t} + \mathbf{G} \mathbf{w}_t, \textrm{ where } \mathbf{W}_t \sim \textrm{MVN}(0,\mathbf{Q})}{x(t) = B x(t-1) + u + C c(t) + G w(t), where W(t) ~ MVN(0,Q)} @@ -86,7 +86,7 @@ Use \code{help.search("internal", package="MARSS")} to see the documentation of The MARSS User Guide: Holmes, E. E., E. J. Ward, and M. D. Scheuerell (2012) Analysis of multivariate time-series using the MARSS package. NOAA Fisheries, Northwest Fisheries Science Center, 2725 Montlake Blvd E., Seattle, WA 98112 \href{https://cran.r-project.org/package=MARSS/vignettes/UserGuide.pdf}{User Guide} or type \code{RShowDoc("UserGuide",package="MARSS")} to open a copy. -The MARSS Quick Start Guide: \href{https://cran.r-project.org/package=MARSS/vignettes/Quick_Start.pdf}{Quick Start Guide} or type \code{RShowDoc("Quick_Start",package="MARSS")} to open a copy. +The MARSS Quick Start Guide: \href{https://cran.r-project.org/package=MARSS/vignettes/Quick_Start.html}{Quick Start Guide} or type \code{RShowDoc("Quick_Start",package="MARSS")} to open a copy. } diff --git a/man/MARSS.Rd b/man/MARSS.Rd index 7ae45ceb..5f652ae1 100644 --- a/man/MARSS.Rd +++ b/man/MARSS.Rd @@ -57,7 +57,7 @@ The default settings for the optional arguments are set in \code{MARSSsettings.R \item{...}{ Optional arguments passed to function specified by form. } } \details{ -The \code{model} argument specifies the structure of your model. There is a one-to-one correspondence between how you would write your model in matrix form on the whiteboard and how you specify the model for \code{MARSS()}. Many different types of multivariate time-series models can be converted to the MARSS form. See the \href{https://cran.r-project.org/package=MARSS/vignettes/UserGuide.pdf}{User Guide} and \href{https://cran.r-project.org/package=MARSS/vignettes/Quick_Start.pdf}{Quick Start Guide} for examples. +The \code{model} argument specifies the structure of your model. There is a one-to-one correspondence between how you would write your model in matrix form on the whiteboard and how you specify the model for \code{MARSS()}. Many different types of multivariate time-series models can be converted to the MARSS form. See the \href{https://cran.r-project.org/package=MARSS/vignettes/UserGuide.pdf}{User Guide} and \href{https://cran.r-project.org/package=MARSS/vignettes/Quick_Start.html}{Quick Start Guide} for examples. The MARSS package has two forms for standard users: marxss and dfa. \describe{ diff --git a/man/MARSS_marxss.Rd b/man/MARSS_marxss.Rd index aade9a8b..7b3c616e 100644 --- a/man/MARSS_marxss.Rd +++ b/man/MARSS_marxss.Rd @@ -28,21 +28,21 @@ Note, "marxss" is a model form. A model form is defined by a collection of form \details{ The allowed arguments when \code{form="marxss"} are 1) the arguments common to all forms: "y" (data), "inits", "control", "method", "form", "fit", "silent", "fun.kf" (see \code{\link{MARSS}} for information on these arguments) and 2) the argument "model" which is a list describing the MARXSS model (the model list is described below). -See the \href{https://cran.r-project.org/package=MARSS/vignettes/Quick_Start.pdf}{Quick Start Guide} guide or the \href{https://cran.r-project.org/package=MARSS/vignettes/UserGuide.pdf}{User Guide} for examples. +See the \href{https://cran.r-project.org/package=MARSS/vignettes/Quick_Start.html}{Quick Start Guide} guide or the \href{https://cran.r-project.org/package=MARSS/vignettes/UserGuide.pdf}{User Guide} for examples. The argument \code{model} must be a list. The elements in the list specify the structure for the \eqn{\mathbf{B}}{B}, \eqn{\mathbf{u}}{u}, \eqn{\mathbf{C}}{C}, \eqn{\mathbf{c}}{c}, \eqn{\mathbf{Q}}{Q}, \eqn{\mathbf{Z}}{Z}, \eqn{\mathbf{a}}{a}, \eqn{\mathbf{D}}{D}, \eqn{\mathbf{d}}{d}, \eqn{\mathbf{R}}{R}, \eqn{\mathbf{x}_0}{x0}, and \eqn{\mathbf{V}_0}{V0} in the MARXSS model (above). The list elements can have the following values: \describe{ - \item{\code{Z}} {Default="identity". A text string, "identity","unconstrained", "diagonal and unequal", "diagonal and equal", "equalvarcov", or "onestate", or a length n vector of factors specifying which of the m hidden state time series correspond to which of the n observation time series. May be specified as a n x m list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric n x m matrix to use a custom fixed \eqn{\mathbf{Z}}{Z}. "onestate" gives a n x 1 matrix of 1s. "identity","unconstrained", "diagonal and unequal", "diagonal and equal", and "equalvarcov" all specify n x n matrices.} - \item{\code{B}} {Default="identity". A text string, "identity", "unconstrained", "diagonal and unequal", "diagonal and equal", "equalvarcov", "zero". Can also be specified as a list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric m x m matrix to use custom fixed \eqn{\mathbf{B}}{B}, but in this case all the eigenvalues of \eqn{\mathbf{B}}{B} must fall in the unit circle.} - \item{\code{U}, \code{x0}} {Default="unconstrained". A text string, "unconstrained", "equal", "unequal" or "zero". May be specified as a m x 1 list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric m x 1 matrix to use a custom fixed \eqn{\mathbf{u}}{u} or \eqn{\mathbf{x}_0}{x(0)}. Notice that \code{U} is capitalized in the \code{model} argument and output lists.} - \item{\code{A}} {Default="scaling". A text string, "scaling","unconstrained", "equal", "unequal" or "zero". May be specified as a n x 1 list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric n x 1 matrix to use a custom fixed \eqn{\mathbf{a}}{a}. Care must be taken when specifying \code{A} so that the model is not under-constrained and unsolvable model. The default, "scaling", only applies to \eqn{\mathbf{Z}}{Z} matrices that are design matrices (only 1s and 0s and all rows sum to 1). When a column in \eqn{\mathbf{Z}}{Z} has multiple 1s, the first row in the \eqn{\mathbf{a}}{a} matrix associated with those \eqn{\mathbf{Z}}{Z} rows is 0 and the other associated \eqn{\mathbf{a}}{a} rows have an estimated value. This is used to treat \eqn{\mathbf{a}}{a} as an intercept where one intercept for each \eqn{\mathbf{x}}{x} (hidden state) is fixed at 0 and any other intercepts associated with that \eqn{\mathbf{x}}{x} have an estimated intercept. This ensures a solvable model when \eqn{\mathbf{Z}}{Z} is a design matrix. Note in the model argument and output, \code{A} is capitalized.} - \item{\code{Q}} {Default="diagonal and unequal". A text string, "identity", "unconstrained", "diagonal and unequal", "diagonal and equal", "equalvarcov", "zero". May be specified as a list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric g x g matrix to use a custom fixed matrix. Default value of g is m, so \eqn{\mathbf{Q}}{Q} is a m x m matrix. g is the number of columns in \eqn{\mathbf{G}}{G} (below).} - \item{\code{R}} {Default="diagonal and equal". A text string, "identity", "unconstrained", "diagonal and unequal", "diagonal and equal", "equalvarcov", "zero". May be specified as a list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric h x h matrix to use a custom fixed matrix. Default value of h is n, so \eqn{\mathbf{R}}{R} is a n x n matrix. h is the num of columns in \eqn{\mathbf{H}}{H} (below).} - \item{\code{V0}} {Default="zero". A text string, "identity", "unconstrained", "diagonal and unequal", "diagonal and equal", "equalvarcov", "zero". May be specified as a list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric m x m matrix to use a custom fixed matrix.} - \item{\code{D} and \code{C}} {Default="zero". A text string, "identity", "unconstrained", "diagonal and unequal", "diagonal and equal", "equalvarcov", "zero". Can be specified as a list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric matrix to use custom fixed values. Must have n rows (\eqn{\mathbf{D}}{D}) or m rows (\eqn{\mathbf{C}}{C}).} - \item{\code{d} and \code{c}} {Default="zero". Numeric matrix. No missing values allowed. Must have 1 column or the same number of columns as the data, \eqn{\mathbf{y}}{y}. The numbers of rows in \eqn{\mathbf{d}}{d} must be the same as number of columns in \eqn{\mathbf{D}}{D}; similarly for \eqn{\mathbf{c}}{c} and \eqn{\mathbf{C}}{C}.} - \item{\code{G} and \code{H}} {Default="identity". A text string, "identity". Can be specified as a numeric matrix or array for time-varying cases. Must have m rows and g columns (\eqn{\mathbf{G}}{G}) or n rows and h columns (\eqn{\mathbf{H}}{H}). g is the dim of \eqn{\mathbf{Q}}{Q} and h is the dim of \eqn{\mathbf{R}}{R}.} - \item{\code{tinitx}} {Default=0. Whether the initial state is specified at t=0 (default) or t=1.} + \item{\code{Z}}{Default="identity". A text string, "identity","unconstrained", "diagonal and unequal", "diagonal and equal", "equalvarcov", or "onestate", or a length n vector of factors specifying which of the m hidden state time series correspond to which of the n observation time series. May be specified as a n x m list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric n x m matrix to use a custom fixed \eqn{\mathbf{Z}}{Z}. "onestate" gives a n x 1 matrix of 1s. "identity","unconstrained", "diagonal and unequal", "diagonal and equal", and "equalvarcov" all specify n x n matrices.} + \item{\code{B}}{Default="identity". A text string, "identity", "unconstrained", "diagonal and unequal", "diagonal and equal", "equalvarcov", "zero". Can also be specified as a list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric m x m matrix to use custom fixed \eqn{\mathbf{B}}{B}, but in this case all the eigenvalues of \eqn{\mathbf{B}}{B} must fall in the unit circle.} + \item{\code{U}, \code{x0}}{Default="unconstrained". A text string, "unconstrained", "equal", "unequal" or "zero". May be specified as a m x 1 list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric m x 1 matrix to use a custom fixed \eqn{\mathbf{u}}{u} or \eqn{\mathbf{x}_0}{x(0)}. Notice that \code{U} is capitalized in the \code{model} argument and output lists.} + \item{\code{A}}{Default="scaling". A text string, "scaling","unconstrained", "equal", "unequal" or "zero". May be specified as a n x 1 list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric n x 1 matrix to use a custom fixed \eqn{\mathbf{a}}{a}. Care must be taken when specifying \code{A} so that the model is not under-constrained and unsolvable model. The default, "scaling", only applies to \eqn{\mathbf{Z}}{Z} matrices that are design matrices (only 1s and 0s and all rows sum to 1). When a column in \eqn{\mathbf{Z}}{Z} has multiple 1s, the first row in the \eqn{\mathbf{a}}{a} matrix associated with those \eqn{\mathbf{Z}}{Z} rows is 0 and the other associated \eqn{\mathbf{a}}{a} rows have an estimated value. This is used to treat \eqn{\mathbf{a}}{a} as an intercept where one intercept for each \eqn{\mathbf{x}}{x} (hidden state) is fixed at 0 and any other intercepts associated with that \eqn{\mathbf{x}}{x} have an estimated intercept. This ensures a solvable model when \eqn{\mathbf{Z}}{Z} is a design matrix. Note in the model argument and output, \code{A} is capitalized.} + \item{\code{Q}}{Default="diagonal and unequal". A text string, "identity", "unconstrained", "diagonal and unequal", "diagonal and equal", "equalvarcov", "zero". May be specified as a list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric g x g matrix to use a custom fixed matrix. Default value of g is m, so \eqn{\mathbf{Q}}{Q} is a m x m matrix. g is the number of columns in \eqn{\mathbf{G}}{G} (below).} + \item{\code{R}}{Default="diagonal and equal". A text string, "identity", "unconstrained", "diagonal and unequal", "diagonal and equal", "equalvarcov", "zero". May be specified as a list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric h x h matrix to use a custom fixed matrix. Default value of h is n, so \eqn{\mathbf{R}}{R} is a n x n matrix. h is the num of columns in \eqn{\mathbf{H}}{H} (below).} + \item{\code{V0}}{Default="zero". A text string, "identity", "unconstrained", "diagonal and unequal", "diagonal and equal", "equalvarcov", "zero". May be specified as a list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric m x m matrix to use a custom fixed matrix.} + \item{\code{D} and \code{C}}{Default="zero". A text string, "identity", "unconstrained", "diagonal and unequal", "diagonal and equal", "equalvarcov", "zero". Can be specified as a list matrix for general specification of both fixed and shared elements within the matrix. May also be specified as a numeric matrix to use custom fixed values. Must have n rows (\eqn{\mathbf{D}}{D}) or m rows (\eqn{\mathbf{C}}{C}).} + \item{\code{d} and \code{c}}{Default="zero". Numeric matrix. No missing values allowed. Must have 1 column or the same number of columns as the data, \eqn{\mathbf{y}}{y}. The numbers of rows in \eqn{\mathbf{d}}{d} must be the same as number of columns in \eqn{\mathbf{D}}{D}; similarly for \eqn{\mathbf{c}}{c} and \eqn{\mathbf{C}}{C}.} + \item{\code{G} and \code{H}}{Default="identity". A text string, "identity". Can be specified as a numeric matrix or array for time-varying cases. Must have m rows and g columns (\eqn{\mathbf{G}}{G}) or n rows and h columns (\eqn{\mathbf{H}}{H}). g is the dim of \eqn{\mathbf{Q}}{Q} and h is the dim of \eqn{\mathbf{R}}{R}.} + \item{\code{tinitx}}{Default=0. Whether the initial state is specified at t=0 (default) or t=1.} } All parameters except \eqn{\mathbf{x}_0}{x0} and \eqn{\mathbf{V}_0}{V0} may be time-varying. If time-varying, then text shortcuts cannot be used. Enter as an array with the 3rd dimension being time. Time dimension must be 1 or equal to the number of time-steps in the data. See Quick Start guide (\code{RShowDoc("Quick_Start",package="MARSS")}) or the User Guide (\code{RShowDoc("UserGuide",package="MARSS")}) for examples.Valid model structures for \code{method="BFGS"} are the same as for \code{method="kem"}. See \code{\link{MARSSoptim}()} for the allowed options for this method. diff --git a/vignettes/EMDerivation-concordance.tex b/vignettes/EMDerivation-concordance.tex deleted file mode 100644 index 6aa23154..00000000 --- a/vignettes/EMDerivation-concordance.tex +++ /dev/null @@ -1,2 +0,0 @@ -\Sconcordance{concordance:EMDerivation.tex:/Users/eli.holmes/Documents/GitHub/MARSS/vignettes/EMDerivation.Rnw:% -1 3148 1} diff --git a/vignettes/EMDerivation.aux b/vignettes/EMDerivation.aux deleted file mode 100644 index dc45461d..00000000 --- a/vignettes/EMDerivation.aux +++ /dev/null @@ -1,312 +0,0 @@ -\relax -\citation{McLachlanKrishnan2008} -\citation{Harvey1989} -\citation{Borman2009} -\citation{ShumwayStoffer1982} -\citation{GhahramaniHinton1996,RoweisGhahramani1999} -\citation{Wuetal1996} -\citation{Zuuretal2003a} -\@writefile{toc}{\contentsline {section}{\numberline {1}Overview}{2}{}\protected@file@percent } -\@writefile{toc}{\contentsline {subsection}{\numberline {1.1}The MARSS model}{2}{}\protected@file@percent } -\newlabel{eq:MARSS}{{1}{2}} -\newlabel{eq:MARSSx}{{1a}{2}} -\newlabel{eq:MARSSy}{{1b}{2}} -\newlabel{eq:MARSSx1}{{1c}{2}} -\newlabel{eq:MARSS.ex}{{2}{3}} -\@writefile{toc}{\contentsline {subsection}{\numberline {1.2}The joint log-likelihood function}{3}{}\protected@file@percent } -\newlabel{eq:jointL}{{5}{3}} -\citation{JohnsonWichern2007} -\citation{ShumwayStoffer2006} -\citation{ShumwayStoffer2006,Zuuretal2003a} -\newlabel{eq:logL}{{6}{4}} -\newlabel{eq:logL.V0.is.0}{{7}{4}} -\@writefile{toc}{\contentsline {subsection}{\numberline {1.3}Missing values}{4}{}\protected@file@percent } -\newlabel{sec:missing}{{1.3}{4}} -\@writefile{toc}{\contentsline {section}{\numberline {2}The EM algorithm}{5}{}\protected@file@percent } -\newlabel{sec:EMalgorithm}{{2}{5}} -\newlabel{eq:EMalg}{{8}{5}} -\newlabel{eq:EMalg.j}{{9}{5}} -\@writefile{toc}{\contentsline {subsection}{\numberline {2.1}The expected log-likelihood function}{5}{}\protected@file@percent } -\newlabel{sec:expLL}{{2.1}{5}} -\citation{ShumwayStoffer2006} -\newlabel{eq:expLL}{{10}{6}} -\@writefile{toc}{\contentsline {subsection}{\numberline {2.2}The expectations used in the derivation}{6}{}\protected@file@percent } -\newlabel{sec:expectations}{{2.2}{6}} -\newlabel{eq:expectations}{{11}{6}} -\newlabel{eq:hatVt}{{11e}{6}} -\newlabel{eq:hatWt}{{11g}{6}} -\newlabel{eq:comp.formula.variance}{{12}{6}} -\@writefile{lot}{\contentsline {table}{\numberline {1}{\ignorespaces Notes on multivariate expectations. For the following examples, let $\mbox {$\pmb {X}$}$ be a vector of length three, $X_1,X_2,X_3$. $f()$ is the probability distribution function (pdf). $C$ is a constant (not a random variable).\relax }}{7}{}\protected@file@percent } -\providecommand*\caption@xref[2]{\@setref\relax\@undefined{#1}} -\newlabel{tab:MultivariateExpectations}{{1}{7}} -\@writefile{toc}{\contentsline {section}{\numberline {3}The unconstrained update equations}{7}{}\protected@file@percent } -\newlabel{sec:generalupdate}{{3}{7}} -\@writefile{toc}{\contentsline {subsection}{\numberline {3.1}Matrix calculus need for the derivation}{7}{}\protected@file@percent } -\newlabel{sec:MatrixDerivatives}{{3.1}{7}} -\@writefile{toc}{\contentsline {subsection}{\numberline {3.2}The update equation for $\mbox {$\mathbf u$}$ (unconstrained)}{8}{}\protected@file@percent } -\newlabel{eq:u.unconstrained1}{{21}{8}} -\@writefile{lot}{\contentsline {table}{\numberline {2}{\ignorespaces Derivatives of a scalar with respect to vectors and matrices. In the following $a$ is a scalar (unrelated to $\mbox {$\mathbf a$}$), $\mbox {$\mathbf a$}$ and $\mbox {$\mathbf c$}$ are $n \times 1$ column vectors, $\mbox {$\mathbf b$}$ and $\mbox {$\mathbf d$}$ are $m \times 1$ column vectors, $\mbox {$\mathbf D$}$ is a $n \times m$ matrix, $\mbox {$\mathbf C$}$ is a $n \times n$ matrix, and $\mbox {$\mathbf A$}$ is a diagonal $n \times n$ matrix (0s on the off-diagonals). $\mbox {$\mathbf C$}^{-1}$ is the inverse of $\mbox {$\mathbf C$}$, $\mbox {$\mathbf C$}^\top $ is the transpose of $\mbox {$\mathbf C$}$, $\mbox {$\mathbf C$}^{-\top } = \big (\mbox {$\mathbf C$}^{-1}\big )^\top = \big (\mbox {$\mathbf C$}^\top \big )^{-1}$, and $|\mbox {$\mathbf C$}|$ is the determinant of $\mbox {$\mathbf C$}$. Note, all the numerators in the differentials on the far left reduce to scalars. 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-\bibcite{KoopmanOoms2011}{{7}{2011}{{Koopman and Ooms}}{{}}} -\bibcite{Koopman1993}{{8}{1993}{{Koopman}}{{}}} -\bibcite{McLachlanKrishnan2008}{{9}{2008}{{McLachlan and Krishnan}}{{}}} -\bibcite{RoweisGhahramani1999}{{10}{1999}{{Roweis and Ghahramani}}{{}}} -\bibcite{ShumwayStoffer2006}{{11}{2006}{{Shumway and Stoffer}}{{}}} -\bibcite{ShumwayStoffer1982}{{12}{1982}{{Shumway and Stoffer}}{{}}} -\bibcite{Wuetal1996}{{13}{1996}{{Wu et~al.}}{{}}} -\bibcite{Zuuretal2003a}{{14}{2003}{{Zuur et~al.}}{{}}} -\bibstyle{apalike} -\gdef \@abspage@last{55} diff --git a/vignettes/EMDerivation.bbl b/vignettes/EMDerivation.bbl deleted file mode 100644 index 715bdfa5..00000000 --- a/vignettes/EMDerivation.bbl +++ /dev/null @@ -1,72 +0,0 @@ -\begin{thebibliography}{} - -\bibitem[Biernacki et~al., 2003]{Biernackietal2003} -Biernacki, C., Celeux, G., and Govaert, G. 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(2003). -\newblock Estimating common trends in multivariate time series using dynamic factor analysis. -\newblock {\em Environmetrics}, 14(7):665--685. - -\end{thebibliography} diff --git a/vignettes/EMDerivation.blg b/vignettes/EMDerivation.blg deleted file mode 100644 index 3173552e..00000000 --- a/vignettes/EMDerivation.blg +++ /dev/null @@ -1,48 +0,0 @@ -This is BibTeX, Version 0.99d (TeX Live 2023) -Capacity: max_strings=200000, hash_size=200000, hash_prime=170003 -The top-level auxiliary file: EMDerivation.aux -The style file: apalike.bst -Database file #1: ./EMDerivation.bib -Warning--can't use both author and editor fields in KoopmanOoms2011 -You've used 14 entries, - 1935 wiz_defined-function locations, - 576 strings with 6144 characters, -and the built_in function-call counts, 5157 in all, are: -= -- 499 -> -- 189 -< -- 13 -+ -- 70 -- -- 60 -* -- 427 -:= -- 905 -add.period$ -- 41 -call.type$ -- 14 -change.case$ -- 97 -chr.to.int$ -- 14 -cite$ -- 15 -duplicate$ -- 200 -empty$ 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