Package: frscore 0.5.2.9000

frscore: Calculate the Fit-Robustness of CNA-Solutions

Automatically perform a reanalysis series on a data set using CNA, and calculate the fit-robustness of the resulting models, as described in Parkkinen and Baumgartner (2021) <doi:10.1177/0049124120986200>.

Authors:Veli-Pekka Parkkinen [aut, cre, cph], Michael Baumgartner [aut, cph], Mathias Ambuehl [aut, cph]

frscore_0.5.2.9000.tar.gz
frscore_0.5.2.9000.zip(r-4.7-any)frscore_0.5.2.9000.zip(r-4.6-any)frscore_0.5.2.9000.zip(r-4.5-any)
frscore_0.5.2.9000.tgz(r-4.6-any)frscore_0.5.2.9000.tgz(r-4.5-any)
frscore_0.5.2.9000.tar.gz(r-4.7-any)frscore_0.5.2.9000.tar.gz(r-4.6-any)
frscore_0.5.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
frscore/json (API)

# Install 'frscore' in R:
install.packages('frscore', repos = c('https://vpparkkinen.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/vpparkkinen/frscore/issues

Datasets:
  • d.error - Simulated data of sixteen cases with measurement error in one case

On CRAN:

Conda:

3.32 score 1 stars 14 scripts 300 downloads 6 exports 97 dependencies

Last updated from:8452162305. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK228
source / vignettesOK221
linux-release-x86_64OK146
macos-release-arm64OK234
macos-oldrel-arm64OK185
windows-develOK91
windows-releaseOK130
windows-oldrelOK104
wasm-releaseOK146

Exports:causal_submodelfrscorefrscored_cnaplot_submodel_networkrean_cnasubmodel_adjacencies_to_igraph

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicnacolorspacecowplotcpp11DerivdigestdoBydplyrevaluatefarverfastmapfontawesomeforecastFormulafracdifffsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetsigraphisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmimeminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRcppParallelRdpackreformulasRfastrlangrmarkdownS7sassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDatetinytexurcautf8vctrsviridisLitevisNetworkwithrxfunyamlziggzoo