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:
SignifReg_4.3.tar.gz
SignifReg_4.3.tar.gz(r-4.5-noble)SignifReg_4.3.tar.gz(r-4.4-noble)
SignifReg_4.3.tgz(r-4.4-emscripten)SignifReg_4.3.tgz(r-4.3-emscripten)
SignifReg.pdf |SignifReg.html✨
SignifReg/json (API)
| # Install 'SignifReg' in R: |
| install.packages('SignifReg', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 years agofrom:8f66608f50. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 20 2024 |
| R-4.5-linux | OK | Nov 20 2024 |
Exports:add1SignifRegadd1summarydrop1SignifRegdrop1summarySignifReg
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarverFormulagenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr
