Abstract
We introduce an R package PGEE that implements the penalized generalized estimating equations (GEE) procedure proposed byWang et al. (2012) to analyze longitudinal data with a large number of covariates. The PGEE package includes three main functions: CVfit, PGEE, and MGEE. The CVfit function computes the cross-validated tuning parameter for penalized generalized estimating equations. The function PGEE performs simultaneous estimation and variable selection for longitudinal data with high-dimensional covariates; whereas the function MGEE fits unpenalized GEE to the data for comparison. The R package PGEE is illustrated using a yeast cell-cycle gene expression data set.
| Original language | English |
|---|---|
| Pages (from-to) | 393-402 |
| Number of pages | 10 |
| Journal | R Journal |
| Volume | 9 |
| Issue number | 1 |
| DOIs | |
| Publication status | Published - 1 Jun 2017 |
| Externally published | Yes |