Package: inferstat 0.1.1

inferstat: Publication-Ready Inferential Statistics and Visualization

Provides publication-ready tools for inferential statistical analyses, assumption checking, effect size estimation, statistical visualizations, and standardized reporting. Methods for assessing normality follow Shapiro and Wilk (1965) <doi:10.1093/biomet/52.3-4.591>, and guidance for standardized effect sizes is informed by Cohen (1988) <doi:10.4324/9780203771587>.

Authors:Vinodh Kumar Obli Rajendran [aut, cre], Keerthi Aaradhana [aut]

inferstat_0.1.1.tar.gz
inferstat_0.1.1.zip(r-4.7-any)inferstat_0.1.1.zip(r-4.6-any)inferstat_0.1.1.zip(r-4.5-any)
inferstat_0.1.1.tgz(r-4.6-any)inferstat_0.1.1.tgz(r-4.5-any)
inferstat_0.1.1.tar.gz(r-4.7-any)inferstat_0.1.1.tar.gz(r-4.6-any)
inferstat_0.1.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
inferstat/json (API)

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

Bug tracker:https://github.com/vinodhpmd/inferstat/issues

On CRAN:

Conda:

1.70 score 234 downloads 8 exports 68 dependencies

Last updated from:b2d5125b8d. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK148
source / vignettesOK180
linux-releaseOK153
macos-releaseOK104
macos-oldrelOK105
windows-develOK91
windows-releaseOK67
windows-oldrelOK94
wasm-releaseOK112

Exports:anovacheck_assumptionscheck_normalitycheck_outlierscheck_variancedescribet_testtheme_publication

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo