PGS-package: Penalized GEE with Grid Search

Description Details Author(s) References

Description

Penalized Generalized Estimating Equations method with grid search for association study of high-dimensional data with repeated measures.

Details

BJdata is used to load and preview PGS built-in example datasets BJmirna and BJlung.

pgsfit is used to fit and determine the best results from penalized GEE method across tunning parameter grid.

sis is used to conduct sure independent screening across high-dimensional variables.

Author(s)

Yinan Zheng [aut, cre], Fei Zhe [aut], Haixiang Zhang [ctb], Yi Li [cph], Lifang Hou [cph]

Maintainer: Yinan Zheng <[email protected]>

References

Zheng Y, Fei Z, Zhang W, Starren JB, Liu L, Baccarelli AA, Li Y, Hou L. PGS: a tool for association study of high-dimensional microRNA expression data with repeated measures. Bioinformatics. 2014;30(19):2802-7. doi: 10.1093/bioinformatics/btu396. PubMed PMID: 24947752; PubMed Central PMCID: PMC4173025. (pubmed)

Wang L, Zhou J, Qu A. Penalized generalized estimating equations for high-dimensional longitudinal data analysis. Biometrics. 2012;68(2):353-60. doi: 10.1111/j.1541-0420.2011.01678.x. PubMed PMID: 21955051. (pubmed)


YinanZheng/PGS documentation built on June 3, 2017, 9:52 a.m.