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
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SignifReg_4.3.tgz(r-4.4-emscripten)SignifReg_4.3.tgz(r-4.3-emscripten)
SignifReg.pdf |SignifReg.html✨
SignifReg/json (API)

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5 exports 0.00 score 59 dependencies 8 scripts 326 downloads

Last updated 2 years agofrom:8f66608f50. Checks:OK: 2. Indexed: yes.

Exports:add1SignifRegadd1summarydrop1SignifRegdrop1summarySignifReg

Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfansifarvergenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4magrittrMASSMatrixMatrixModelsmgcvmicrobenchmarkminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6RColorBrewerRcppRcppEigenrlangscalesSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithr