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My.stepwise

Stepwise Variable Selection Procedures for Regression Analysis

v0.1.0 · Jun 29, 2017 · GPL (>= 3)

Description

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.

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CRAN incoming feasibility

Maintainer: ‘Fu-Chang Hu <fuchang.hu@gmail.com>’

No Authors@R field in DESCRIPTION.
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  Authors@R: c(person(given = c("International-Harvard", "Statistical", "Consulting"),
                      family = "Company",
                      role = "aut",
                      email = "nhsc2010@hotmail.com"),
               person(given = "Fu-Chang",
                      family = "Hu",
                      role = "cre",
                      email = "fuchang.hu@gmail.com"))
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Fu-Chang Hu <fuchang.hu@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = c("International-Harvard", "Statistical", "Consulting"),
                      family = "Company",
                      role = "aut",
                      email = "nhsc2010@hotmail.com"),
               person(given = "Fu-Chang",
                      family = "Hu",
                      role = "cre",
                      email = "fuchang.hu@gmail.com"))
as necessary.
NOTE r-oldrel-macos-arm64

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NOTE r-oldrel-macos-x86_64

LazyData

'LazyData' is specified without a 'data' directory
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LazyData

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NOTE 9 OK · 5 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026
NOTE r-devel-linux-x86_64-debian-clang

CRAN incoming feasibility

Maintainer: ‘Fu-Chang Hu <fuchang.hu@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = c("International-Harvard", "Statistical", "Consulting"),
                      family = "Company",
          
...[truncated]...
le = "aut",
                      email = "nhsc2010@hotmail.com"),
               person(given = "Fu-Chang",
                      family = "Hu",
                      role = "cre",
                      email = "fuchang.hu@gmail.com"))
as necessary.
NOTE r-devel-linux-x86_64-debian-gcc

CRAN incoming feasibility

Maintainer: ‘Fu-Chang Hu <fuchang.hu@gmail.com>’

No Authors@R field in DESCRIPTION.
Please add one, modifying
  Authors@R: c(person(given = c("International-Harvard", "Statistical", "Consulting"),
                      family = "Company",
          
...[truncated]...
le = "aut",
                      email = "nhsc2010@hotmail.com"),
               person(given = "Fu-Chang",
                      family = "Hu",
                      role = "cre",
                      email = "fuchang.hu@gmail.com"))
as necessary.
NOTE r-oldrel-macos-arm64

LazyData

'LazyData' is specified without a 'data' directory
NOTE r-oldrel-macos-x86_64

LazyData

'LazyData' is specified without a 'data' directory
NOTE r-oldrel-windows-x86_64

LazyData

'LazyData' is specified without a 'data' directory

Dependency Network

Dependencies Reverse dependencies car lmtest survival My.stepwise

Version History

new 0.1.0 Mar 10, 2026