Package: My.stepwise 0.1.0
My.stepwise: Stepwise Variable Selection Procedures for Regression Analysis
The stepwise variable selection procedure (with iterations between the 'forward' and 'backward' steps) can be used to obtain the best candidate final regression model in regression analysis. All the relevant covariates are put on the 'variable list' to be selected. The significance levels for entry (SLE) and for stay (SLS) are usually set to 0.15 (or larger) for being conservative. Then, with the aid of substantive knowledge, the best candidate final regression model is identified manually by dropping the covariates with p value > 0.05 one at a time until all regression coefficients are significantly different from 0 at the chosen alpha level of 0.05.
Authors:
My.stepwise_0.1.0.tar.gz
My.stepwise_0.1.0.zip(r-4.7-any)My.stepwise_0.1.0.zip(r-4.6-any)My.stepwise_0.1.0.zip(r-4.5-any)
My.stepwise_0.1.0.tgz(r-4.6-any)My.stepwise_0.1.0.tgz(r-4.5-any)
My.stepwise_0.1.0.tar.gz(r-4.7-any)My.stepwise_0.1.0.tar.gz(r-4.6-any)
My.stepwise_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
My.stepwise/json (API)
| # Install 'My.stepwise' in R: |
| install.packages('My.stepwise', repos = c('https://fu-chang.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 from:4983700d4a. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel | OK | 131 | ||
| source / vignettes | OK | 161 | ||
| linux-release | OK | 131 | ||
| macos-release | OK | 152 | ||
| macos-oldrel | OK | 192 | ||
| windows-devel | OK | 85 | ||
| windows-release | OK | 77 | ||
| windows-oldrel | OK | 83 | ||
| wasm-release | OK | 98 |
Exports:My.stepwise.coxphMy.stepwise.glmMy.stepwise.lm
Dependencies:abindbackportsbootbroomcarcarDataclicolorspacecowplotcpp11DerivdoBydplyrfarverforecastFormulafracdiffgenericsggplot2gluegtableisobandlabelinglatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmgcvminqamodelrnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpurrrquantregR6rbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangS7scalesSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrzoo
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Stepwise Variable Selection Procedure for Cox's Proportional Hazards Model and Cox's Model | My.stepwise.coxph |
| Stepwise Variable Selection Procedure for Generalized Linear Models | My.stepwise.glm |
| Stepwise Variable Selection Procedure for Linear Regression Model | My.stepwise.lm |