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-any)RegAssure_1.0.0.zip(r-4.6-any)RegAssure_1.0.0.zip(r-4.5-any)
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✨
DESCRIPTION
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 208 downloads 3 exports 70 dependencies

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

TargetResultTimeFilesSyslog
linux-develOK134
source / vignettesOK210
linux-releaseOK139
macos-releaseOK183
macos-oldrelOK197
windows-develOK106
windows-releaseOK84
windows-oldrelOK113
wasm-releaseOK133

Exports:check_lm_assumptionscheck_logitget_predict

Dependencies:abindbackportsbootbrantbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpROCpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo