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Packages on OpenCPU
Ruben C. Arslan edited this page Apr 22, 2020
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To get an up-to-date list of packages on OpenCPU, look at https://r-packages.formr.org/
Here's some information for people who maintain an OpenCPU instance.
Some of the following packages have apt-dependencies. At least the following packages are needed minimum by one of the following R packages:
apt-get install build-essential gfortran libapparmor-dev libboost-all-dev \
libcairo2-dev libcurl4-gnutls-dev libfontconfig1-dev libgfortran-7-dev \
libgsl-dev libjpeg-dev liblapack-dev libmariadbclient-dev libpng-dev \
libproj-dev libsodium-dev libssl-dev libudunits2-dev libxml2-dev mesa-common-dev \
libglu1-mesa-dev pandoc
Currently, a way to set up packages might be to run:
install.packages(Ncpus = 4, pkgs = c("abind", "acepack", "AER", "AICcmodavg", "akima", "alr4", "Amelia",
"ape", "aplpack", "arm", "ash", "backports", "BatchExperiments",
"BatchJobs", "BayesFactor", "bayesplot", "BB", "BBmisc", "bbmle",
"bdsmatrix", "BH", "BiasedUrn", "bindr", "bindrcpp", "bit", "bit64",
"bitops", "blme", "blob", "bridgesampling", "brms", "Brobdingnag",
"broom", "Cairo", "callr", "car", "carData", "caTools", "cellranger",
"checkmate", "chron", "CircStats", "cmprsk", "coda", "codebook",
"coin", "colorspace", "colourpicker", "combinat", "commonmark",
"CompQuadForm", "corpcor", "coxme", "crosstalk", "cubature",
"d3Network", "data.table", "DBI", "dbplyr", "deldir", "desc",
"descr", "dfoptim", "DiagrammeR", "dichromat", "doParallel",
"dotCall64", "downloader", "dplyr", "DT", "dtplyr", "dygraphs",
"eaf", "effects", "ellipse", "emdbook", "emmeans", "emoa", "Epi",
"estimability", "etm", "expm", "extrafont", "extrafontdb", "fail",
"fdrtool", "fields", "fmsb", "FNN", "foreach", "formatR", "Formula",
"futile.logger", "futile.options", "future", "gamm4", "gdata",
"gdtools", "gee", "geepack", "genetics", "geosphere", "GGally",
"ggalt", "ggeffects", "ggforce", "ggfortify", "ggiraph", "ggmap",
"ggplot2", "ggraph", "ggrepel", "ggthemes", "ggvis", "gistr",
"glasso", "glmmTMB", "globals", "gmailr", "googlesheets", "googleVis",
"gplots", "gridBase", "gridExtra", "gridSVG", "gstat", "gtable",
"gtools", "hexbin", "hflights", "highcharter", "Hmisc", "HSAUR3",
"htmlTable", "htmltools", "htmlwidgets", "hunspell", "igraph",
"igraphdata", "influenceR", "inline", "intervals", "irace", "irlba",
"irr", "iterators", "jpeg", "kinship2", "knitrBootstrap", "koRpus",
"labeling", "Lahman", "lambda.r", "latticeExtra", "lava", "lavaan",
"lavaan.survey", "lazyeval", "leaflet", "leaps", "lhs", "likert",
"lintr", "lisrelToR", "listenv", "lme4", "lmerTest", "lmtest",
"logspline", "loo", "lpSolve", "lsmeans", "lubridate", "mapproj",
"maps", "maptools", "MasterBayes", "Matching", "MatchIt", "matrixcalc",
"MatrixModels", "matrixStats", "maxLik", "mcmc", "MCMCglmm",
"MCMCpack", "memisc", "merTools", "meta", "MetABEL", "metacom",
"metafor", "metagen", "metaLik", "metap", "MetaPCA", "MetaSKAT",
"metatest", "Metatron", "metricsgraphics", "mets", "mgcv", "mi",
"mice", "miniUI", "minqa", "miscTools", "mnormt", "modelr", "modeltools",
"mpt", "multcomp", "MuMIn", "munsell", "mvtnorm", "network",
"nleqslv", "nloptr", "NMF", "nor1mix", "numDeriv", "officer",
"optextras", "optimx", "orthopolynom", "packrat", "ParamHelpers",
"pbapply", "pbivnorm", "pbkrtest", "pedigreemm", "permute", "pkgKitten",
"pkgmaker", "PKI", "plogr", "plotly", "plotROC", "plyr", "png",
"polspline", "polynom", "praise", "prediction", "prettyunits",
"prodlim", "progress", "proj4", "proto", "pryr", "psych", "purrr",
"pwr", "qrencoder", "quadprog", "quantmod", "QuantPsyc", "quantreg",
"randomForest", "RAppArmor", "raster", "rasterVis", "rbokeh",
"R.cache", "Rcgmin", "RColorBrewer", "RcppArmadillo", "RcppEigen",
"RCurl", "readxl", "registry", "rematch", "repr", "reprex", "reshape",
"reshape2", "rex", "rgexf", "rgl", "rglwidget", "RgoogleMaps",
"rjson", "RJSONIO", "rlist", "rmarkdown", "rmeta", "R.methodsS3",
"rms", "rngtools", "rockchalk", "R.oo", "Rook", "roxygen2", "rprojroot",
"R.rsp", "rsconnect", "RSQLite", "rstan", "rstanarm", "rstantools",
"Rttf2pt1", "RUnit", "R.utils", "rversions", "rvest", "rvg",
"Rvmmin", "RWiener", "sandwich", "scales", "scatterplot3d", "selectr",
"sem", "semTools", "setRNG", "shiny", "shinyAce", "shinyBS",
"shinyFiles", "shinyjs", "shinystan", "shinythemes", "simsem",
"sjlabelled", "sjmisc", "sjPlot", "sjstats", "SKAT", "skimr",
"SMVar", "sna", "snakecase", "sodium", "sourcetools", "sp", "spacetime",
"spam", "SparseM", "SQUAREM", "StanHeaders", "statmod", "statnet.common",
"stringdist", "strucchange", "survey", "survival", "svglite",
"svUnit", "tables", "tensorA", "testthat", "TH.data", "threejs",
"tidyselect", "tidyverse", "timereg", "TMB", "tripack", "tseries",
"TTR", "tufte", "tutorial", "tweenr", "twitteR", "ucminf", "udunits2",
"units", "unmarked", "urlshorteneR", "uuid", "vcd", "vegan",
"VGAM", "viridis", "viridisLite", "visNetwork", "waffle", "wesanderson",
"xfun", "XML", "xml2", "xtable", "xts", "Zelig", "zipcode", "zoo",
"RMySQL", "assertthat", "base64enc", "boot", "brew", "class",
"cli", "cluster", "codetools", "crayon", "curl", "devtools",
"digest", "evaluate", "feather", "forcats", "foreign", "git2r",
"glue", "haven", "highr", "hms", "httpuv", "httr", "jsonlite",
"KernSmooth", "knitr", "lattice", "magrittr", "markdown", "MASS",
"Matrix", "memoise", "mime", "nlme", "nnet", "opencpu", "openssl",
"pander", "pillar", "pkgconfig", "protolite", "R6", "rappdirs",
"Rcpp", "readr", "rlang", "rpart", "rstudioapi", "sendmailR",
"spatial", "stringi", "stringr", "sys", "tibble", "unix", "utf8",
"webutils", "whisker", "withr", "yaml", "zip"))
devtools::install_github("rubenarslan/formr")
There is a bug in OpenCPU where we can get an "unloading error" when updating packages that are part of the core OpenCPU set. Therefore, we should always run the following to remove dupes.
.libPaths(c( "/usr/local/lib/opencpu/site-library",
"/usr/local/lib/R/site-library",
"/usr/lib/R/site-library",
"/usr/lib/R/library",
"/usr/lib/opencpu/library" ))
library(tidyverse)
pkgs <- installed.packages()
pkgs <- as.data.frame(pkgs)
dupes <- pkgs %>% select(Package, Version, LibPath) %>%
group_by(Package) %>%
filter(n_distinct(Version, na.rm = TRUE) > 1)
dupes %>%
spread(LibPath, Version) %>%
knitr::kable()
dupes %>%
group_by(Package) %>%
arrange(desc(Version)) %>%
filter(Version != first(Version)) %>%
purrr::pmap(~ remove.packages(..1, ..3))