PGEE: An R package for analysis of longitudinal data with high-dimensional covariates

Gul Inan, Lan Wang

Araştırma sonucu: ???type-name???Makalebilirkişi

16 Atıf (Scopus)

Özet

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.

Orijinal dilİngilizce
Sayfa (başlangıç-bitiş)393-402
Sayfa sayısı10
DergiR Journal
Hacim9
Basın numarası1
DOI'lar
Yayın durumuYayınlandı - 1 Haz 2017
Harici olarak yayınlandıEvet

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