pgee.mixed: Penalized Generalized Estimating Equations for Bivariate Mixed Outcomes

Perform simultaneous estimation and variable selection for correlated bivariate mixed outcomes (one continuous outcome and one binary outcome per cluster) using penalized generalized estimating equations. In addition, clustered Gaussian and binary outcomes can also be modeled. The SCAD, MCP, and LASSO penalties are supported. Cross-validation can be performed to find the optimal regularization parameter(s).

Version: 0.1.0
Imports: mvtnorm (≥ 1.0-5), copula (≥ 0.999-15), Rcpp (≥ 0.12.6), methods (≥ 3.3.2)
LinkingTo: Rcpp, RcppArmadillo
Published: 2016-12-21
DOI: 10.32614/CRAN.package.pgee.mixed
Author: Ved Deshpande [aut, cre]
Maintainer: Ved Deshpande <veddeshpande at>
License: GPL-2
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: pgee.mixed results


Reference manual: pgee.mixed.pdf


Package source: pgee.mixed_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): pgee.mixed_0.1.0.tgz, r-oldrel (arm64): pgee.mixed_0.1.0.tgz, r-release (x86_64): pgee.mixed_0.1.0.tgz, r-oldrel (x86_64): pgee.mixed_0.1.0.tgz


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