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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!
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.