Package: SignifReg 4.3

Adriano Zanin Zambom

SignifReg: Consistent Significance Controlled Variable Selection in Generalized Linear Regression

Provides significance controlled variable selection algorithms with different directions (forward, backward, stepwise) based on diverse criteria (AIC, BIC, adjusted r-square, PRESS, or p-value). The algorithm selects a final model with only significant variables defined as those with significant p-values after multiple testing correction such as Bonferroni, False Discovery Rate, etc. See Zambom and Kim (2018) <doi:10.1002/sta4.210>.

Authors:Jongwook Kim, Adriano Zanin Zambom

SignifReg_4.3.tar.gz
SignifReg_4.3.tar.gz(r-4.7-any)SignifReg_4.3.tar.gz(r-4.6-any)
SignifReg_4.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
SignifReg/json (API)

# Install 'SignifReg' in R:
install.packages('SignifReg', repos = c('https://cran.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.

1.34 score 22 scripts 284 downloads 5 exports 69 dependencies

Last updated from:8f66608f50. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK105
source / vignettesOK189
linux-release-x86_64OK119
wasm-releaseOK119

Exports:add1SignifRegadd1summarydrop1SignifRegdrop1summarySignifReg

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo