vsmi: vsmi: Variable selection for multiple imputed data

In vsmi: Variable Selection for Multiple Imputed Data

vsmi: Variable selection for multiple imputed data

Description

This is a package to implementation penalized weighted least-squares estimate for variable selection on correlated multiply imputed data and penalized estimating equations for generalized linear models with multiple imputation.

Functions

PEE:Penalized estimating equations for generalized linear models with multiple imputation

PWLS : Penalized weighted least-squares estimate for variable selection on correlated multiply imputed data

generate_pwls_missing_data : Generate example missing data for PWLS

generate_pee_missing_data : Generate example missing data for PEE

Author(s)

Maintainer: Haoyu Yang [e-mail]

Authors:

• Mingyue Zhang

• Yang Li

vsmi documentation built on May 29, 2024, 3:38 a.m.