Package: frscore 0.4.1.9000

frscore: Functions for Calculating Fit-Robustness of CNA-Solutions

Functions for automatically performing a reanalysis series on a data set using CNA, and for calculating 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]

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NEWS

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

Peer review:

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

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

On CRAN:

3.18 score 1 stars 9 scripts 582 downloads 6 exports 91 dependencies

Last updated 5 months agofrom:bdfff74482. Checks:OK: 1 WARNING: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 09 2024
R-4.5-winWARNINGNov 09 2024
R-4.5-linuxWARNINGNov 09 2024
R-4.4-winWARNINGNov 09 2024
R-4.4-macWARNINGNov 09 2024
R-4.3-winWARNINGNov 09 2024
R-4.3-macWARNINGNov 09 2024

Exports:causal_submodelfrscorefrscored_cnaplot_submodel_networkrean_cnasubmodel_adjacencies_to_igraph

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicnacolorspacecowplotcpp11DerivdigestdoBydplyrevaluatefansifarverfastmapfontawesomeFormulafsgenericsggplot2gluegtablehighrhtmltoolshtmlwidgetsigraphisobandjquerylibjsonliteknitrlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmatrixStatsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenRcppGSLRcppParallelRcppZigguratRfastrlangrmarkdownsassscalesSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitevisNetworkwithrxfunyaml