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
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RegAssure.pdf |RegAssure.html
RegAssure/json (API)

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

Peer review:

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

On CRAN:

3 exports 0.83 score 64 dependencies 2 scripts 148 downloads

Last updated 1 years agofrom:f8ce35d09c. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKAug 30 2024
R-4.5-winOKAug 30 2024
R-4.5-linuxOKAug 30 2024
R-4.4-winOKAug 30 2024
R-4.4-macOKAug 30 2024
R-4.3-winOKAug 30 2024
R-4.3-macOKAug 30 2024

Exports:check_lm_assumptionscheck_logitget_predict

Dependencies:abindbackportsbootbrantbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpROCpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrzoo