Package: RegAssure 1.0.0

RegAssure: Streamlined Integration of Regression Assumption

It streamlines the evaluation of regression model assumptions, enhancing result reliability. With integrated tools for assessing key aspects like linearity, homoscedasticity, and more. It's a valuable asset for researchers and analysts working with regression models.

Authors:Nicolás Rubio García [aut, cre]

RegAssure_1.0.0.tar.gz
RegAssure_1.0.0.zip(r-4.7)RegAssure_1.0.0.zip(r-4.6)RegAssure_1.0.0.zip(r-4.5)
RegAssure_1.0.0.tgz(r-4.6-any)RegAssure_1.0.0.tgz(r-4.5-any)
RegAssure_1.0.0.tar.gz(r-4.7-any)RegAssure_1.0.0.tar.gz(r-4.6-any)
RegAssure_1.0.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
RegAssure/json (API)

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

Bug tracker:https://github.com/nrubiog/regassure/issues

On CRAN:

Conda:

2.70 score 2 scripts 213 downloads 3 exports 71 dependencies

Last updated from:f8ce35d09c. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK145
source / vignettesOK196
linux-release-x86_64OK152
macos-release-arm64OK170
macos-oldrel-arm64OK182
windows-develOK105
windows-releaseOK82
windows-oldrelOK103
wasm-releaseOK113

Exports:check_lm_assumptionscheck_logitget_predict

Dependencies:abindbackportsbootbrantbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpROCpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo