SignifReg-package: Consistent Significance Controlled Variable Selection in...
In SignifReg: Consistent Significance Controlled Variable Selection in Generalized Linear Regression
SignifReg-package R Documentation
Consistent Significance Controlled Variable Selection in
Generalized Linear Regression
Description
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>.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Author(s)
Jongwook Kim, Adriano Zanin Zambom
Maintainer: Adriano Zanin Zambom <adriano.zambom@csun.edu>
References
Zambom A Z, Kim J. Consistent significance controlled variable selection in high-dimensional regression. Stat.2018;7:e210. https://doi.org/10.1002/sta4.210
SignifReg documentation built on March 22, 2022, 9:05 a.m.
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| SignifReg-package | R Documentation |
Consistent Significance Controlled Variable Selection in Generalized Linear Regression
Description
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>.
Details
The DESCRIPTION file:
This package was not yet installed at build time.
Author(s)
Jongwook Kim, Adriano Zanin Zambom
Maintainer: Adriano Zanin Zambom <adriano.zambom@csun.edu>
References
Zambom A Z, Kim J. Consistent significance controlled variable selection in high-dimensional regression. Stat.2018;7:e210. https://doi.org/10.1002/sta4.210
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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