Package: quickregression 0.2

quickregression: Quick Linear Regression

Helps to perform linear regression analysis by reducing manual effort. Reduces the independent variables based on specified p-value and Variance Inflation Factor (VIF) level.

Authors:Darshan Maniyar [aut, cre]

quickregression_0.2.tar.gz
quickregression_0.2.zip(r-4.7-any)quickregression_0.2.zip(r-4.6-any)quickregression_0.2.zip(r-4.5-any)
quickregression_0.2.tgz(r-4.6-any)quickregression_0.2.tgz(r-4.5-any)
quickregression_0.2.tar.gz(r-4.7-any)quickregression_0.2.tar.gz(r-4.6-any)
quickregression_0.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
quickregression/json (API)

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 1 scripts 207 downloads 1 exports 68 dependencies

Last updated from:8c1f2d79e4. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK100
source / vignettesOK171
linux-releaseOK111
macos-releaseOK173
macos-oldrelOK203
windows-develOK59
windows-releaseOK65
windows-oldrelOK81
wasm-releaseOK101

Exports:qlm

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo