SAS Procedures for Variable Selection

The Methodology Center released two SAS procedures, PROC SCADLS, which does linear regression using penalized least squares with the SCAD penalty and SCADGLIM which implements the SCAD variable selection method in the context of penalized maximum-likelihood generalized linear regression models. This approach automatically selects and estimates a model at the same time.

Citation

The Methodology Center, Penn State, (2014). SAS Procedures for Variable Selection [Data set]. Scholarsphere. https://doi.org/10.26207/kf2w-6g31

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Work Title SAS Procedures for Variable Selection
Access
Open Access
Creators
  1. The Methodology Center, Penn State
Keyword
  1. SAS
  2. variable selection
License All rights reserved
Work Type Software Or Program Code
Publication Date 2014
DOI doi:10.26207/kf2w-6g31
Deposited May 22, 2020

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Version 1
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  • Created

    November 16, 2020 22:33 by Scholarsphere 4 Migration

  • Added proc_scadls_scadglim_1_2_setup_64.zip

    November 16, 2020 22:33 by Scholarsphere 4 Migration

  • Added README.txt

    November 16, 2020 22:33 by Scholarsphere 4 Migration

  • Added proc_scadls_scadglim_1_2_setup_32s.zip

    November 16, 2020 22:33 by Scholarsphere 4 Migration

  • Added proc_scadls_scadglim_1_2_setup_32s-64w.zip

    November 16, 2020 22:33 by Scholarsphere 4 Migration

  • Added proc_scadls_1_2_UsersGuide-1.zip

    November 16, 2020 22:33 by Scholarsphere 4 Migration

  • Added LICENSE.txt

    November 16, 2020 22:33 by Scholarsphere 4 Migration

  • Added Creator The Methodology Center, Penn State

    November 16, 2020 22:33 by Scholarsphere 4 Migration

  • Published

    November 16, 2020 22:33 by Scholarsphere 4 Migration

  • Updated

    February 28, 2022 22:45 by [unknown user]

  • Updated

    March 22, 2022 16:14 by [unknown user]

  • Updated

    April 04, 2024 10:19 by [unknown user]