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-4.5)RegAssure_1.0.0.zip(r-4.4)RegAssure_1.0.0.zip(r-4.3)
RegAssure_1.0.0.tgz(r-4.4-any)RegAssure_1.0.0.tgz(r-4.3-any)
RegAssure_1.0.0.tar.gz(r-4.5-noble)RegAssure_1.0.0.tar.gz(r-4.4-noble)
RegAssure_1.0.0.tgz(r-4.4-emscripten)RegAssure_1.0.0.tgz(r-4.3-emscripten)
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:

2.70 score 2 scripts 124 downloads 3 exports 65 dependencies

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

TargetResultDate
Doc / VignettesOKOct 29 2024
R-4.5-winOKOct 29 2024
R-4.5-linuxOKOct 29 2024
R-4.4-winOKOct 29 2024
R-4.4-macOKOct 29 2024
R-4.3-winOKOct 29 2024
R-4.3-macOKOct 29 2024

Exports:check_lm_assumptionscheck_logitget_predict

Dependencies:abindbackportsbootbrantbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigplyrpROCpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrzoo