From 4577d88ce817f020fd0a3db5ce45e016d520bbbe Mon Sep 17 00:00:00 2001 From: Kaitlyn Johnson <94390107+kaitejohnson@users.noreply.github.com> Date: Thu, 14 Nov 2024 13:27:41 -0500 Subject: [PATCH] Update priors spatial main (#250) * Adding class and methods for wwinference model fit (#58) * Starting off refactoring (expected to fail) [skip ci] * Adding new method * Fixing bug in fit_model (was exploiting scoping) * Updating docs (fixing S3 methods) * 49 output class creation (#59) * add a space * add first test of first check * add tests for all of the check/assert functions * run precommit * check bug in passing output of checkmate to cliabort * initial tests of preprocess_ww_data * add custum utils function for autoescaping brackets to pass to glue * add a bunch of tests for preprocessing wastewater data * add one more test of site lab indexing * fix bugs caught in CI * fix lab site spacing * fix spacing in name again * add test to hospital admissions preprocessing * add additional test to ensure character to indexing of sites and labs * remove bug in expected number of unique lab site indices * add tests to make sure data is daily and test to checkers * add a bunch of validation checks to the joint datasets and the user specifications * replace with new way of getting stan data * fix examples, add test, add warning * fix examples, add test, add warning * change from hosp -> count everywhere except stan and vignette/examples * add tests for pmfs * fix bugs in documentation * add padding value as a function arg * change pmf size check to a warning not an error * fix bug * make initialization function more generic * update changelog * modify to test * fix typo from merge * fix parsing of cmdstan object * change parsing of fit obj * Update R/checkers.R Co-authored-by: Dylan H. Morris * Update R/checkers.R Co-authored-by: Dylan H. Morris * Update R/checkers.R Co-authored-by: Dylan H. Morris * Update R/checkers.R Co-authored-by: Dylan H. Morris * Update R/checkers.R Co-authored-by: Dylan H. Morris * Update R/checkers.R Co-authored-by: Dylan H. Morris * Update R/checkers.R Co-authored-by: Dylan H. Morris * Update R/checkers.R Co-authored-by: Dylan H. Morris * some tweaks to checkers * Update R/checkers.R Co-authored-by: Dylan H. Morris * Update R/checkers.R Co-authored-by: Dylan H. Morris * fix documentation * fix typo * fix typo * change outputs from wwinference() function * fix typos, add documentation * fix bug missing stan args * exclude t columns in data join * fix vignette bug * add the ww_output documentation * document ... * fix missing comma * move documentation of params around * Update R/checkers.R Co-authored-by: Dylan H. Morris * Update R/checkers.R Co-authored-by: Dylan H. Morris * Update R/checkers.R Co-authored-by: Dylan H. Morris * Update R/checkers.R Co-authored-by: Dylan H. Morris * Update R/checkers.R Co-authored-by: Dylan H. Morris * Update R/checkers.R Co-authored-by: Dylan H. Morris * change syntax and filenames * Update R/preprocessing.R Co-authored-by: Dylan H. Morris * Update R/wwinference.R Co-authored-by: Dylan H. Morris * Update R/wwinference.R Co-authored-by: Dylan H. Morris * change naming and internal checking * change syntax * move around documentation * fix check * fix tests, fix documentation * rename assert function to specify within a certain frame * add element to text * fix bug in function name * tweak to inference function * fix two bugs * adjust tests based on updated get stan data function which breaks up generation of input data * Update get_stan_data.R example * update documentation after fixing example * add example to wwinference wrapper function * attempt to move around documentation for wwinference methods * play around with the documentation of the default and the S3 method functions * export S3 method function * add back in exporting functions to get input data formatted for stan * make first argument of function have same name as class object * fix bug in how max generation time is found * update vignette to explain wwinference_fit class object vs explicit function calling, add diagnostics and show both ways * fix naming blocks adding comma when needed * dont export autoescape brackets function * fix same bug * update test and preprocessing to count at LOD values at below LOD * fix internal call to diagnostic flags function * Update R/validate.R Co-authored-by: Dylan H. Morris * Update tests/testthat/test_preprocess_count_data.R Co-authored-by: Dylan H. Morris * implement DMs suggestions * run pre-commit * export default functions * Add test-coverage.yaml from epinowcast * remove test coverage * remove example, function not exported * export default function * export both diagnostics functions * add documentation of additional arguments * Update R/validate.R Co-authored-by: Dylan H. Morris * Update R/validate.R Co-authored-by: Dylan H. Morris * Update R/validate.R Co-authored-by: Dylan H. Morris * Update tests/testthat/test_checkers.R Co-authored-by: Dylan H. Morris * Update tests/testthat/test_checkers.R Co-authored-by: Dylan H. Morris * Update tests/testthat/test_preprocess_count_data.R Co-authored-by: Dylan H. Morris * Update tests/testthat/test_preprocess_ww_data.R Co-authored-by: Dylan H. Morris * Update R/validate.R Co-authored-by: Dylan H. Morris * manually input some suggestions * Update tests/testthat/test_checkers.R Co-authored-by: Dylan H. Morris * Update tests/testthat/test_checkers.R Co-authored-by: Dylan H. Morris * Update tests/testthat/test_preprocess_count_data.R Co-authored-by: Dylan H. Morris * Update tests/testthat/test_preprocess_count_data.R Co-authored-by: Dylan H. Morris * Update tests/testthat/test_preprocess_count_data.R Co-authored-by: Dylan H. Morris * add more checknames * run pre-commit locally * fix typo * add some very minimal tests * fix wwinference function * fix bug * fix bug * Update tests/testthat/test_preprocess_count_data.R Co-authored-by: Dylan H. Morris * Update tests/testthat/test_preprocess_count_data.R Co-authored-by: Dylan H. Morris * run pre-commit locally * fix bugs in tests * fix error in tests * move forecast date, calib time, horizon time to args to wrapper function * fix hosp only example in vignette * fix error in example * add dont run to examples * check -> expect in checkmate, confirm tests pass locally --------- Co-authored-by: Dylan H. Morris Co-authored-by: George G. Vega Yon * Making pre-commit happy * Reworking cross-references and print method * Removing copy of fit_model * Fixing function call * Addressing PR comments * Forgot to save some changes * Change output names (#86) * change names of outputs of wwinference wrapper function * fix a few other missed replacements * fix pre-commit * Fixing R CMD check * Pre-commit * Removing diagnostics_summary --------- Co-authored-by: George G. Vega Yon * Update vignettes/wwinference.Rmd Co-authored-by: Kaitlyn Johnson <94390107+kaitejohnson@users.noreply.github.com> * Update vignettes/wwinference.Rmd Co-authored-by: Kaitlyn Johnson <94390107+kaitejohnson@users.noreply.github.com> * Adding example of summary and print in the vignette. Addressing some minor comments * fix test for expected names after changing function args * set seed in tests --------- Co-authored-by: Kaitlyn Johnson <94390107+kaitejohnson@users.noreply.github.com> Co-authored-by: Dylan H. Morris Co-authored-by: kaitejohnson * Addressing R CMD check notes due to tidyeval syntax (#108) * Starting to use .data and others * Removing more warnings * Think almost all issues are now solved * License warning and passing params as expected * Removing prefix * Fixing note on license and news file * Using str2lang in spread_draws * Update R/get_draws_df.R Co-authored-by: Dylan H. Morris * Fixing R CMD check * fixed intercept in figures * Update R/generate_simulated_data.R Co-authored-by: Dylan H. Morris * Apply suggestions from code review by @dylanhmorris Co-authored-by: Dylan H. Morris * Update R/preprocessing.R Co-authored-by: Dylan H. Morris * Update R/get_stan_data.R Co-authored-by: Dylan H. Morris * Update R/preprocessing.R Co-authored-by: Dylan H. Morris * Update R/preprocessing.R Co-authored-by: Dylan H. Morris * Update R/preprocessing.R Co-authored-by: Dylan H. Morris * Update R/preprocessing.R Co-authored-by: Dylan H. Morris * Update R/preprocessing.R Co-authored-by: Dylan H. Morris * remove call to utils::globalVariables() * Update R/preprocessing.R * Update R/generate_simulated_data.R Co-authored-by: Dylan H. Morris * Update R/preprocessing.R Co-authored-by: Dylan H. Morris * Update R/get_stan_data.R Co-authored-by: Dylan H. Morris --------- Co-authored-by: Dylan H. Morris Co-authored-by: Kaitlyn Johnson <94390107+kaitejohnson@users.noreply.github.com> Co-authored-by: kaitejohnson * update hierarchical estimate of sigma_site in `model_definition` (#120) * add a space * update hierarchical estimate of sigma_site * update prior table * run pre-commit * update comment when transforming to site level standard deviations * add to change log * Update inst/stan/wwinference.stan Co-authored-by: Dylan H. Morris * Update model_definition.md Co-authored-by: Dylan H. Morris * Update model_definition.md Co-authored-by: Dylan H. Morris * Update model_definition.md Co-authored-by: Dylan H. Morris * update notation for mode and sd of stdevs * Update model_definition.md Co-authored-by: Dylan H. Morris * Update model_definition.md Co-authored-by: Dylan H. Morris * Update model_definition.md Co-authored-by: Dylan H. Morris * tweaks to formatting * Update model_definition.md Co-authored-by: Dylan H. Morris --------- Co-authored-by: Dylan H. Morris * Vignette tweaks (#141) * fix typo in indicate ww exclusions documentation * fix typos/language in vignette * Update R/preprocessing.R Co-authored-by: Chirag Kumar * update docs --------- Co-authored-by: Chirag Kumar * actually set seed * Set seeds in test_get_stan_data (#146) Co-authored-by: Kaitlyn Johnson <94390107+kaitejohnson@users.noreply.github.com> * Modify package to expect log scale concentration values and LODs (#122) * Tweaks to model definition (#134) * Fix check for required wastewater columns (#127) * Switch to placing prior on and inferring `i/n` at the first observed timepoint (#85) * update vignette to reflect default NULL seed in mcmcoptions (#125) * Fix NEWS.md (#126) * hot fix to readme * Update NEWS.md * run pre-commit * Update NEWS.md (#144) * run pre-commit locally * Update NEWS.md --------- Co-authored-by: George G. Vega Yon * Update DESCRIPTION (#156) * Adding new class and method for get_draws (#153) * Adding new class and method (expected to fail) * Addressing issues with names (expected to fail) * Adding the what parameter to the docs * Addressing final bits. Now need the test * Adding plot method as a wrapper * Adding some tests * Fixing test and setting default y=NULL in plot * Adding some lines in the vignette to explain the plot method works on wwinference_fit_draws * Addressing review comments * Typo in length function * Reverting R/sysdata.rda and ensuring tests run properly * Reverting sysdata (again) * Better print and fixing test * Fixing tests * Add contributors (#160) * 163 expand R version (#164) * Add hex logo to repo (#148) * update readme with logo * swap to svg * use use package * adjust size and remove extra text * try adding new logo * fix title * fix title again * delete old logos * Various bug fixes (#128) * fix rendering to katex, add mathcal Rt to vignette (#169) * Tweaks to main vignette (#170) * Adding the post-page-artifact job (#181) * Build link comment in PRs: update comment instead of re-creating on rebuilds (#182) * Only run post-page-artifact job on PRs (#183) * Fix formatting so functions link (#179) * 174 cmdstanr sample args (#175) * Hot fix validate pmf (#191) * Restructure hierarchical estimation based on reference subpopulation (#158) * update validate to warn if sum(site_pop)>total pop * modify to center around the reference pop * temporary change to stan file path for troubleshooting * model compiles * reorder pops by size, reindex subpops to sites, add switch for include_ww = 0 * wip rmd * reindex labsites + other changes * ensure the sum(sites) * Update inst/stan/wwinference.stan Co-authored-by: Dylan H. Morris * Update inst/stan/wwinference.stan Co-authored-by: Dylan H. Morris * Update inst/stan/wwinference.stan Co-authored-by: Dylan H. Morris * Update inst/stan/wwinference.stan Co-authored-by: Dylan H. Morris * Update inst/stan/wwinference.stan Co-authored-by: Dylan H. Morris * Update inst/stan/wwinference.stan Co-authored-by: Dylan H. Morris * add ofsets to intercept and growth rate of unobserved infection process * update test data running on WSL2 * Change how offsets are handled (#168) * Update model file to handle offsets slightly differently, clarify parameter name comments * Fix missing close paren * Fix variable name * Fix more variable names * Remove separate handling of reference pop, fix a few more bugs * Update docs * Fix check for warning in get_stan_data test * Better fix for test_get_stan_data * Fail more informatively if test_ww_model fails to fit entirely * Further customize the fitting failure message for informativeness * Update get stan data with new variable names * Add new variable names to example_params.toml * Fix indexing and initialization * Update test data * add test of no ww model * add conditional for inits, add test for no ww * tweak prreprocessing to handle no wastewater case, add tests for all cases * update testing data * Update R/get_stan_data.R Co-authored-by: Dylan H. Morris * Update R/get_draws.R Co-authored-by: Dylan H. Morris * Update R/validate.R Co-authored-by: Dylan H. Morris * Update R/validate.R Co-authored-by: Dylan H. Morris * fix initialization * update language around the sum(sites)>pop * run pre-commit locally * whoops, fix init * aux site -> aux subpop * add site_to_subpop map to get_subpop_data function * create vectors to pass to stan using the subpopulation mappings * revert to original initialization, use index explicitly in df column name * remove old comments * add functions for making spines in wwinference * move spine functions to get stan data file * update docs * fix fxn input * Fix typo * refactor handling of sites, subpops, ww data indices interally, commented code, expect to fail * include lod vals in plots * fix get stan data to be all based on mappings * fix tests to take in all inputs to get stan data * fix lab_site_subpop_spine fxn * first pass fix postprocessing * minor tweaks * update expected column names from get_draws * update test data * fix labsite to subpop spine handling, add docs for get ww indices and vals --------- Co-authored-by: Dylan H. Morris Co-authored-by: Dylan H. Morris * init had wrong name... (#199) * add multiple os to matrix strategy (#190) * Update NEWS.md (#205) * Update README.md (#207) * Update DESCRIPTION (#203) * Fix error messaging when data extends beyond forecast date (#208) * Positive constrain mode_sigma_ww_site (#210) * Setup pkgdown so it hosts release and dev sites (#212) * Adding the developer mode (see if it works) * Updating action to build twice with caching * Fixing concurrency and workflow graph * Fixing action * Wrong option passed to gh release list * Adding missing token * Debugging * Debugging gh release list * Debugging gh release list v2 * Trying a different strategu * Trying a different strategy v2 * Using jq to extract the tag info * Another try * Printing releases * Trying a different strategy * Was using the wrong pipe * Properly using the caching * Switching the version * Adding person in construction icon * Adding minor tweaks: auto dev mode and rename cache key * Adding more links to the site and enforcing buit on new _pkgdown config * Fixing hashing step * Was pointing to the wrong yml * Ensuring hashing and usage of _pkgdown.yml * Leveraging sparse checkout * Ensuring where the pkg is thrown * Correcting sed * Fixing my bash * Devel is main and adding toggle button * Issue 200: Modify plot methods (#218) * fix link (#231) * Issue 197: rename `validate_both_datasets` function (#219) * Replacing artifact and setting retention days to 7 (#230) * Check unique values of site_pop per site (#232) * Adding validation of records per site * Updated news * Addressing co-pilot hallucination * Explicit call to dplyr::n() * testing data had multiple site pops per site! * Better error and adding a test to catch the error. --------- Co-authored-by: Kaitlyn Johnson * [Hot fix] test when pop size is not constant was failing (#235) * Hot fix! * There was probably a single site! * Correcting site name * fix cbind, dont want duplicat column names, use seq_len but differently * Update NEWS.md Co-authored-by: Dylan H. Morris --------- Co-authored-by: Kaitlyn Johnson Co-authored-by: Kaitlyn Johnson <94390107+kaitejohnson@users.noreply.github.com> Co-authored-by: Dylan H. Morris * Issue 184: Add outputs to `generate_simulated_data()` fxn and package data (#220) * Issue 238: Fix plot bug (#239) * swap order of plotting so calib data shows up * fix plot function * remove free y scale on subpop rt plot (#247) * Issue 248: Add package workflow diagram to readme (#249) * add language to readme * Add files via upload * Add files via upload * remove fig * Add files via upload * add svg * delete png * add package workflow diagram * run pre-commit locally * Add files via upload * Update README.md * Update README.md Co-authored-by: George G. Vega Yon --------- Co-authored-by: George G. Vega Yon * Modify priors on `eta_sd` and `inf_feedback` (#236) * fix merge conflcits * update package data * update documentation * remove extra package data * fix merge conflicts in change log * fix merge conflict in model defn --------- Co-authored-by: George G. Vega Yon Co-authored-by: Dylan H. Morris Co-authored-by: Chirag Kumar Co-authored-by: Dylan H. Morris --- NEWS.md | 8 +-- R/data.R | 47 ++++++++++++++-- R/figures.R | 2 +- R/generate_simulated_data.R | 36 +++++++++++- R/get_stan_data.R | 5 ++ R/initialization.R | 2 + R/wwinference.R | 1 + README.md | 4 ++ data-raw/vignette_data.R | 2 +- data/hosp_data.rda | Bin 597 -> 609 bytes data/hosp_data_eval.rda | Bin 616 -> 625 bytes data/hosp_data_eval_ind.rda | Bin 604 -> 604 bytes data/hosp_data_ind.rda | Bin 498 -> 505 bytes data/ww_data.rda | Bin 1673 -> 1620 bytes data/ww_data_eval.rda | Bin 0 -> 1925 bytes data/ww_data_ind.rda | Bin 1589 -> 1616 bytes inst/extdata/example_params.toml | 6 +- inst/stan/wwinference.stan | 5 +- man/figures/wwinference_package_workflow.svg | 1 + man/figures/wwinference_workflow.png | Bin 0 -> 998494 bytes man/hosp_data.Rd | 4 +- man/ww_data_eval.Rd | 55 +++++++++++++++++++ model_definition.md | 2 + tests/testthat/test_preprocess_ww_data.R | 3 +- vignettes/wwinference.Rmd | 4 +- 25 files changed, 166 insertions(+), 21 deletions(-) create mode 100644 data/ww_data_eval.rda create mode 100644 man/figures/wwinference_package_workflow.svg create mode 100644 man/figures/wwinference_workflow.png create mode 100644 man/ww_data_eval.Rd diff --git a/NEWS.md b/NEWS.md index 9a66713a..5ec2303d 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,3 @@ - # wwinference 0.1.0.99 (dev) ## User-visible changes @@ -7,7 +6,10 @@ hospital admissions to output of function and package data. ([#184](https://gith - `wwinference` now checks whether `site_pop` is fixed per site (see issue [#223](https://github.com/CDCgov/ww-inference-model/issues/226) reported by [@akeyel](https://github.com/akeyel)). ## Internal changes -- Updated the workflow for posting the pages artifact to PRs (issue [#229](https://github.com/CDCgov/ww-inference-model/issues/229)). +- Modified the priors on the infection feedback term and the step size of the weekly random walk in the effective reproductive number (issue [#227](https://github.com/CDCgov/ww-inference-model/issues/227)), based on benchmarking results from the evaluation pipeline described in the [PR](https://github.com/CDCgov/ww-inference-model/pull/236) corresponding to this change. +- Add package workflow diagram to readme ([#248](https://github.com/CDCgov/ww-inference-model/issues/248)) +- `get_plot_subpop_rt()` now uses a shared y-axis to facilitate comparison of R(t) estimates) ([#245](https://github.com/CDCgov/ww-inference-model/issues/245)) +- Updated the workflow for posting the pages artifact to PRs (issue [#229](https://github.com/CDCgov/ww-inference-model/issues/229)(https://github.com/CDCgov/ww-inference-model/issues/229)). - Modify `plot_forecasted_counts()` so that it does not require an evaluation dataset ([#218](https://github.com/CDCgov/ww-inference-model/pull/218)) # wwinference 0.1.0 @@ -22,7 +24,5 @@ As it's written, the package is intended to allow users to do the following: - Validate input data validation with informative error messaging ([#37](https://github.com/CDCgov/ww-inference-model/issues/37), [#54](https://github.com/CDCgov/ww-inference-model/issues/54)) - Provide a wrapper function to generate forward simulated data with user-specified variables. It calls a number of functions to perform specific model components ([#27](https://github.com/CDCgov/ww-inference-model/issues/27)) - Contains S3 class methods applied to the output of the main model wrapper function, the `wwinference_fit` class object ([#58](https://github.com/CDCgov/ww-inference-model/issues/58)). -<<<<<<< HEAD - Wastewater concentration data is expected to be in log scale ([#122](https://onetakeda.box.com/s/pju273g5khx3y3cwoae2zwv3e7vu03x3)). -======= - Wastewater concentration data is expected to be in log scale ([#122](https://github.com/CDCgov/ww-inference-model/pull/122)). diff --git a/R/data.R b/R/data.R index 42660979..35fb62da 100644 --- a/R/data.R +++ b/R/data.R @@ -39,6 +39,47 @@ #' @source vignette_data.R "ww_data" +#' Example evaluation wastewater dataset. +#' +#' A dataset containing the simulated retrospective wastewater concentrations +#' (labeled here as `log_genome_copies_per_ml_eval`) by sample collection date +#' (`date`), the site where the sample was collected (`site`) and the lab +#' where the samples were processed (`lab`). Additional columns that are +#' required attributes needed for the model are the limit of detection for +#' that lab on each day (labeled here as `log_lod`) and the population size of +#' the wastewater catchment area represented by the wastewater concentrations +#' in each `site`. +#' +#' This data is generated via the default values in the +#' `generate_simulated_data()` function. They represent the bare minumum +#' required fields needed to pass to the model, and we recommend that users +#' try to format their own data to match this format. +#' +#' The variables are as follows: +#' +#' @format ## ww_data_eval +#' A tibble with 126 rows and 6 columns +#' \describe{ +#' \item{date}{Sample collection date, formatted in ISO8601 standards as +#' YYYY-MM-DD} +#' \item{site}{The wastewater treatment plant where the sample was collected} +#' \item{lab}{The lab where the sample was processed} +#' \item{log_genome_copies_per_ml_eval}{The natural log of the wastewater +#' concentration measured on the date specified, collected in the site +#' specified, and processed in the lab specified. The package expects +#' this quantity in units of log estimated genome copies per mL.} +#' \item{log_lod}{The log of the limit of detection in the site and lab on a +#' particular day of the quantification device (e.g. PCR). This should be in +#' units of log estimated genome copies per mL.} +#' \item{site_pop}{The population size of the wastewater catchment area +#' represented by the site variable} +#' \item{location}{ A string indicating the location that all of the +#' data is coming from. This is not a necessary column, but instead is +#' included to more realistically mirror a typical workflow} +#' } +#' @source vignette_data.R +"ww_data_eval" + #' Example wastewater dataset with independent site correlations. @@ -100,9 +141,9 @@ #' to match this format. #' #' This data is generated via the default values in the -#' `generate_simulated_data()` function. They represent the bare minumum +#' `generate_simulated_data()` function. They represent the bare minimum #' required fields needed to pass to the model, and we recommend that users -#' try to format their own data to match this formate. +#' try to format their own data to match this format. #' #' The variables are as follows: #' \describe{ @@ -304,8 +345,6 @@ "rt_site_data" - - #' COVID-19 post-Omicron generation interval probability mass function #' #' \describe{ diff --git a/R/figures.R b/R/figures.R index 03ee740d..902e61f2 100644 --- a/R/figures.R +++ b/R/figures.R @@ -268,7 +268,7 @@ get_plot_subpop_rt <- function(draws, linetype = "dashed", show.legend = FALSE ) + - facet_wrap(~subpop_name, scales = "free") + + facet_wrap(~subpop_name) + geom_hline(aes(yintercept = 1), linetype = "dashed") + xlab("") + ylab("Subpopulation R(t)") + diff --git a/R/generate_simulated_data.R b/R/generate_simulated_data.R index 79d4b4d3..ec216e16 100644 --- a/R/generate_simulated_data.R +++ b/R/generate_simulated_data.R @@ -575,7 +575,6 @@ generate_simulated_data <- function(r_in_weeks = # nolint - # Global adjusted R(t) -------------------------------------------------- # I(t)/convolve(I(t), g(t)) #nolint # This is not used directly, but we want to have it for comparing to the @@ -599,6 +598,41 @@ generate_simulated_data <- function(r_in_weeks = # nolint lod_lab_site = lod_lab_site ) + ww_data_eval <- format_ww_data( + log_obs_conc_lab_site = log_obs_conc_lab_site_eval, + ot = ot + ht, + ht = 0, + date_df = date_df, + site_lab_map = site_lab_map, + lod_lab_site = lod_lab_site + ) |> + dplyr::rename( + "log_genome_copies_per_ml_eval" = "log_genome_copies_per_ml" + ) + + # Artificially add values below the LOD---------------------------------- + # Replace it with an NA, will be used as an example of how to format data + # properly. + min_ww_val <- min(ww_data$log_genome_copies_per_ml) + ww_data <- ww_data |> + dplyr::mutate( + "log_genome_copies_per_ml" = + dplyr::case_when( + .data$log_genome_copies_per_ml == + !!min_ww_val ~ 0.5 * .data$log_lod, + TRUE ~ .data$log_genome_copies_per_ml + ) + ) + ww_data_eval <- ww_data_eval |> + dplyr::mutate( + "log_genome_copies_per_ml_eval" = + dplyr::case_when( + .data$log_genome_copies_per_ml_eval == + !!min_ww_val ~ 0.5 * .data$log_lod, + TRUE ~ .data$log_genome_copies_per_ml_eval + ) + ) + ww_data_eval <- format_ww_data( log_obs_conc_lab_site = log_obs_conc_lab_site_eval, diff --git a/R/get_stan_data.R b/R/get_stan_data.R index 12a107d6..824c7afb 100644 --- a/R/get_stan_data.R +++ b/R/get_stan_data.R @@ -74,6 +74,7 @@ get_input_ww_data_for_stan <- function(preprocessed_ww_data, ) |> dplyr::arrange(.data$date, .data$lab_site_index) } + return(ww_data) } @@ -418,6 +419,7 @@ get_stan_data <- function(input_count_data, # Get the last date that there were observations of the epidemiological # indicator (aka cases or hospital admissions counts) last_count_data_date <- max(input_count_data$date, na.rm = TRUE) + # Validate input pmfs---------------------------------------------------- validate_pmf(generation_interval, calibration_time, @@ -651,6 +653,7 @@ get_stan_data <- function(input_count_data, sd_log_sigma_ww_site_prior_sd = params$sd_log_sigma_ww_site_prior_sd, eta_sd_sd = params$eta_sd_sd, + eta_sd_mean = params$eta_sd_mean, sigma_i_first_obs_prior_mode = params$sigma_i_first_obs_prior_mode, sigma_i_first_obs_prior_sd = params$sigma_i_first_obs_prior_sd, p_hosp_prior_mean = params$p_hosp_mean, @@ -682,6 +685,7 @@ get_stan_data <- function(input_count_data, offset_ref_initial_exp_growth_rate_prior_sd = params$offset_ref_initial_exp_growth_rate_prior_sd ) + return(stan_data_list) } @@ -797,6 +801,7 @@ get_ww_indices_and_values <- function(input_ww_data, "Length of censored vectors incorrect" = length(ww_censored) + length(ww_uncensored) == owt ) + ww_sampled_times <- ww_data_joined |> dplyr::pull("t") ww_sampled_subpops <- ww_data_joined |> dplyr::pull("subpop_index") lab_site_to_subpop_spine <- lab_site_site_spine |> diff --git a/R/initialization.R b/R/initialization.R index b8387ac1..bccee0bf 100644 --- a/R/initialization.R +++ b/R/initialization.R @@ -111,10 +111,12 @@ get_inits_for_one_chain <- function(stan_data, stdev = 0.01) { # unstructured correlation matrix L_Omega = as.matrix(diag(2)) ) + if (stan_data$corr_structure_switch == 2) { init_list$L_Omega <- diag((n_subpops - 1)) } + if (stan_data$n_subpops > 1) { init_list$error_rt_subpop <- matrix( stats::rnorm((n_subpops - 1) * n_weeks, diff --git a/R/wwinference.R b/R/wwinference.R index 734705fc..bbf56cff 100644 --- a/R/wwinference.R +++ b/R/wwinference.R @@ -247,6 +247,7 @@ wwinference <- function(ww_data, ) } + # Get site to subpop spine site_subpop_spine <- get_site_subpop_spine( input_ww_data = input_ww_data, diff --git a/README.md b/README.md index 6ce78bb5..0e8042eb 100644 --- a/README.md +++ b/README.md @@ -27,6 +27,10 @@ This will help make clear the data requirements and how to structure this data t - Sam Abbott (seabbs) - Damon Bayer (damonbayer) +# Package workflow +The following depicts the suggested workflow for fitting the wastewater-informed forecasting model. See the ["Getting Started" vignette](https://cdcgov.github.io/ww-inference-model/articles/wwinference.html) for a full example. +![](./man/figures/wwinference_workflow.png) + # Installing and running code ## Install R diff --git a/data-raw/vignette_data.R b/data-raw/vignette_data.R index 8a88867e..6fca63df 100644 --- a/data-raw/vignette_data.R +++ b/data-raw/vignette_data.R @@ -30,10 +30,10 @@ hosp_data_eval_ind <- simulated_data_ind$hosp_data_eval rt_site_data_ind <- simulated_data_ind$rt_site_data rt_global_data_ind <- simulated_data_ind$rt_global_data - usethis::use_data(hosp_data, overwrite = TRUE) usethis::use_data(hosp_data_eval, overwrite = TRUE) usethis::use_data(ww_data, overwrite = TRUE) + usethis::use_data(rt_site_data, overwrite = TRUE) usethis::use_data(rt_global_data, overwrite = TRUE) usethis::use_data(hosp_data_ind, overwrite = TRUE) diff --git a/data/hosp_data.rda b/data/hosp_data.rda index 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Z8A#_#(C9NxNL^!Z-dKBrrcpb1KgD*gWkT4b$>N-v+EA2D1e4C nLZ*GkoupsC8)lAQi&TISaiLC1p_k$T-}t+dDZ+$>843TmUl!5~ diff --git a/inst/extdata/example_params.toml b/inst/extdata/example_params.toml index 1975fc60..4f054711 100644 --- a/inst/extdata/example_params.toml +++ b/inst/extdata/example_params.toml @@ -50,9 +50,11 @@ offset_ref_initial_exp_growth_rate_prior_sd = 0.025 autoreg_p_hosp_a = 1 # shape1 parameter of autoreg term on IHR(t) trend autoreg_p_hosp_b = 100 # shape2 parameter of autoreg term on IHR(t) trend +eta_sd_mean = 0.0278 # from posterior of fit to long time series eta_sd_sd = 0.01 -infection_feedback_prior_logmean = 6.37408 # log(mode) + q^2 mode = 500, q = 0.4 -infection_feedback_prior_logsd = 0.4 +infection_feedback_prior_logmean = 4.498 # log(~90) from posterior of fit to long +# time series +infection_feedback_prior_logsd = 0.636 # log(~1.9) [hospital_admission_observation_process] diff --git a/inst/stan/wwinference.stan b/inst/stan/wwinference.stan index 2e205ce8..aeda96f6 100644 --- a/inst/stan/wwinference.stan +++ b/inst/stan/wwinference.stan @@ -89,6 +89,7 @@ data { real sd_log_sigma_ww_site_prior_mode; real sd_log_sigma_ww_site_prior_sd; real eta_sd_sd; + real eta_sd_mean; real p_hosp_prior_mean; real p_hosp_sd_logit; real p_hosp_w_sd_sd; @@ -303,10 +304,10 @@ transformed parameters { log_r_subpop_t_in_weeks = log_r_t_in_weeks + (n_subpops > 1 ? offset_ref_log_r_t[1] : 0); } else { + log_r_subpop_t_in_weeks = to_vector(log_r_subpop_t_in_weeks_matrix[i-1, :]); } - //convert from weekly to daily unadj_r_subpop_t = exp(to_row_vector(ind_m*(log_r_subpop_t_in_weeks))); @@ -402,7 +403,7 @@ model { offset_ref_logit_i_first_obs_prior_sd); offset_ref_initial_exp_growth_rate ~ normal(offset_ref_initial_exp_growth_rate_prior_mean, offset_ref_initial_exp_growth_rate_prior_sd); - eta_sd ~ normal(0, eta_sd_sd); + eta_sd ~ normal(eta_sd_mean, eta_sd_sd); autoreg_rt_subpop ~ beta(autoreg_rt_subpop_a, autoreg_rt_subpop_b); autoreg_rt ~ beta(autoreg_rt_a, autoreg_rt_b); diff --git a/man/figures/wwinference_package_workflow.svg b/man/figures/wwinference_package_workflow.svg new file mode 100644 index 00000000..83ffbb27 --- /dev/null +++ b/man/figures/wwinference_package_workflow.svg @@ -0,0 +1 @@ +Site-lab level wastewater data“total” population count dataPre-processed wastewater dataPre-processedcountdataPre-processed wastewater data with exclusions indicatedwwinference_fitobjectModel parameters & delay distributions via get_model_spec()forecast_date, calibration_time,forecast_horizonMCMC fitting specifications,fit_optspreprocess_ww_data()indicate_ww_exclusions()preprocess_count_data()Fit model via wwinference()raw_input_datafit(CmdStanobject)stan_data_listfit_optsget_draws()wwinference_drawsobjectpredicted_countspredicted_wwsubpop_rtglobal_rtget_plot_forecasted_counts()get_plot_ww_conc()get_plot_global_rt()get_plot_subpop_rt()get_model_diagnostic_flags()summary_diagnostics()parameter_diagnostics()ModeldiagnosticsPlot model outputs diff --git a/man/figures/wwinference_workflow.png b/man/figures/wwinference_workflow.png new file mode 100644 index 0000000000000000000000000000000000000000..a70e258764fb78085fd6aa012afd8d8645a39f0f GIT binary patch literal 998494 zcmeFZi(Arn|36OmcGo`lYHn?_JkOdPMW@Xa6(k)<@+_Hw$E}B zeDQAFp%aH75IXh!l{5bYU;odAV-a`=#QE|1&xSqcBBc<>+N0x#4~3*hPZ_b*g!qhY zsXO|$o})9&(V1H1pkG+nr>P1S6K!G9GFdwxf;>p+Ei#)w`{9qzuhF+0cDiQy>*M63 zzihY2p>Nhb`S||D!edL1FD;(luyykuoAZT-_8i-Ded|YifBvQ8l-FnIdxw9&-d9Y^ za3pCF;z&cAxLanJnl~KJBEaM72;3TmhM>WVBt{yz)&IBt9|Hep1X36H8ocYz>Bg-g zSc^^nbzS;73OW9F)9`?k1r7vMM zCVQj~qq6wV4?w2Mm!1E2F@h>{{PNWiYs>i$`%GfSHvHE`7xPtqE*aboMU7$1d7|35 zgNiD1+`#ryC`eWOp>4$fx*Sp#o9#IF-jd&z*VneL*=2UVqt2mf9$70?o^7V=81bO% ze|=`C7pdKkW zc-dL^W$o@4*`Bq6#l>iqQ`>|i7<~S7nGVfmdj{CC#M_9dvMU#I$a(**n^zIml5ND0 zY3&hfvC`HO{a;WNpYTlNPj1ISAd&D!@UF~p-SQ5qdj3NS{lD%O;NU&349%}={azvW zDSH~s2kzA%McXd7^$N}YXG!~~($7CP{#<3+HK36nilRyCvipgQQK@V z`lb=I^n*JI-GgzJ$&u9FTQYjibOB}bGhJQR%<*nmzE&jlUC9oB8^o zCGq|)EVlgyLuvkZuu%-vy<%Hxg!aOq!!P;U$ZlvN@u@_d>8WEJR~Odk9v`r zM%*${Z9P-AA03{xrPDAWrX|{TbrMW4O9__Bo8Iq)#0JJ5&nlZ?6giUh;4l~!M&9v$nS8zyk-i(SwW zk_>d!Vj`A?&eMAzEF~H`octt_RvOXl-_7olZ$-vuamO@1zT$@&LzwAwfA|-l&VD#} zaD6j10OMSDWLzs*P+d9|k_uZm7mE7HsKg zU{lSG#GO=3cRLjVF*(FYDnqKD=!nz9ExbC_)LwLN8^)i^yJm?T0B^sOudDI$X{`07 zWgrn+W{y^(Xo=kw3WF$mB>^ zM`RUgRz-TMr5Yy`=R29(!@YqFBy{P;br-F+OS@pnAL%poXJa=%z~=`Y)ov4l@J@^7bOhvd&mb3nfDvYVHk7Wl{+R(RPw-+}$r?I!ny)=9x<3Dzf84rp6?1>>b1+3;+A6?7Y5Lv zl(0eXVJ4*s-1n$D4T36WO!G|F_~G&psY3*Q+?kS#mw9c~*7g?5(Dgr+G8WQX(B#e( zcwTf+oXb%tEVcFTrtlmlcN+XJ^VAu-PK1?qia(MoGeu6)54ugb$7T)V^?e*^SdzH25Kw;U~H%ENAc*%eNtbYh~&@wBQnk_jAVrjvk7J#*gDR` z!il8zBV`nN&|Pxz~e9dz9yd%;eW%x&6HIz7%Txub$Y6 z9$^qX{F8WcQ+&djD5fxsn~tk76vDepRcYNm5kCyo>KFOCXLYj7Cz%Ljfuz0~7OWWQ zU#l^+764QZKkXaqA4b;Db&ia%EU@L(g?K z?^(BST84fd{hNlnRE(F-&)!VnqD09wA)5F%xChiNdmsZ};7;c4sZeUZnblXbn~k6p z+4vN*AFGb|`yUo<$hAC9i zxokAM0_gP{PtmCil6jhBt^aUViiO@iaNeeVZZVNyNz+?HJU&IM}tx;r$wXj$7d?Z1RgiyT`UB){zXUlhm=i zg907Uv`sy_eJ%UavK38WDBM}l;Ja2(T7X8Bk-FV}8sXK*-eHf7=smrVR{VsK4WQMF zJ|op>MYW{4wu;E2(uPq#kp85Am-$#^G+*DiX2`lrDUKHkb z!$Ly|JsEwBR*j7R#^5i_(^h$3e!d!g>*K6;V3pz$pq5wWubkMb`$Q@CaobH=%isJO zb;_J$BFW|j7;Xw~wVYd1Z5xN1?EVSbRahT3% zq*y5XD!yGym+o~6RZQ<7t^iJ@H@nsG3Ofo6;$KyJj}+4lxGQTJ5i)&-nz_A(Rzf#0o()amJimZy;L`y;PVo}I@vj{H@uo0^CrZ+x`4&R0q-j#<2$Qk0j#FByjiCLY`*{Mi`fz{X|sjHAh`%yYW%T?BEq!aS_WNJ^u z0aHX2N4fX4X+TVZwQ1!d?t{=Qu2o8pgljDINowF$MU~CYat6^O2G%(Vky`h&-~`O~`28JuZ@oPRhBmdD>jH(VCjz6^_YvCUswBJ7^ltd1aG91@`jSFl zr$kStaOqQ>n+Y>t>gH04h$-hiV)V=&%&VezN{^I}O*>#)H=GV2a7Hs~ey)i!95&3Y zRy3{FV$)=-xMG@OaEIpOcqFMy5H=Uf@;172+f89DRB?Pn}x3Uv>&z?A1`~e#P|~6%pUmeO7N#t; 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This amounts to making two key additional modeling assumptions: diff --git a/tests/testthat/test_preprocess_ww_data.R b/tests/testthat/test_preprocess_ww_data.R index 00849bc8..be1592c2 100644 --- a/tests/testthat/test_preprocess_ww_data.R +++ b/tests/testthat/test_preprocess_ww_data.R @@ -20,7 +20,6 @@ test_that("Function returns site indices in order of largest site pop", { spine <- processed |> dplyr::distinct(site_pop, site_index) - expect_true(spine$site_pop[spine$site_index == 1] == max(spine$site_pop)) }) @@ -383,8 +382,8 @@ test_that("Function handles LOD values equal to concentration values", { test_that("Constant population per site", { wrong_pop <- ww_data + wrong_pop$site_pop[1] <- ww_data$site_pop[1] + 1000 - wrong_pop$site_pop <- 1e6 + seq_len(nrow(ww_data)) expect_error( preprocess_ww_data( diff --git a/vignettes/wwinference.Rmd b/vignettes/wwinference.Rmd index 1750ebad..4b73b861 100644 --- a/vignettes/wwinference.Rmd +++ b/vignettes/wwinference.Rmd @@ -73,7 +73,8 @@ by the hospital admissions data, in this case, the size of the theoretical state Additionally, we provide the `hosp_data_eval` dataset which contains the simulated hospital admissions 28 days ahead of the forecast date, which can be used to evaluate the model. -For the wastewater data, the expcted format is a table of observations with the + +For the wastewater data, the expected format is a table of observations with the following columns. The wastewater data should not contain `NA` values for days with missing observations, instead these should be excluded: - a date (column `date`): the date the sample was collected @@ -155,7 +156,6 @@ ww_data_preprocessed <- preprocess_ww_data( ``` Note that this function assumes that there are no missing values in the concentration column. The package expects observations below the LOD will -be replaced with a numeric value below the LOD. If there are NAs in your dataset when observations are below the LOD, we suggest replacing them with a value be replaced with a numeric value below the LOD. If there are NAs in your dataset when observations are below the LOD, we suggest replacing them with a value below the LOD in upstream pre-processing.

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