High-Performance Open-Source Archive
Penalized Regression with Second-Generation P-Values
8/6/2021: ProSGPV version 1.0.0 is here!
5/4/2021: ProSGPV is faster now!
Changed the first-stage screening method from cross-validated lasso to one using generalized information criterion
Removed which.sgpv as there is no variability in
selection results given a data set
3/31/2021: ProSGPV can handle GLM now!
Added functionalities of variable selection in Logistic, Poisson, and Cox models
Added the which.sgpv function to find the most
frequent model when the two-stage algorithm is used
Added the S3 plot method for the one-stage
algorithm
Added vignettes to better illustrate how ProSGPV works
1/6/2021: The first version of ProSGPV is released now!
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