PGEE: An R Package for Analysis of Longitudinal Data with High-Dimensional Covariates

Date

2017-06-01

Author

İnan, Gül
Wang, Lan

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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.

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URI

https://hdl.handle.net/11511/54437

Journal

R JOURNAL

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Department of Statistics, Article

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Citation Formats

G. İnan and L. Wang, “PGEE: An R Package for Analysis of Longitudinal Data with High-Dimensional Covariates,” R JOURNAL, pp. 393–402, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54437.