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
Author: Ved Deshpande [aut, cre]
Maintainer: Ved Deshpande <veddeshpande at gmail.com>
BugReports: http://github.com/kaos42/pgee.mixed/issues
License: GPL-2
URL: http://github.com/kaos42/pgee.mixed
NeedsCompilation: yes
Materials: README NEWS
CRAN checks: pgee.mixed results

Downloads:

Reference manual: pgee.mixed.pdf
Package source: pgee.mixed_0.1.0.tar.gz
Windows binaries: r-devel: pgee.mixed_0.1.0.zip, r-release: pgee.mixed_0.1.0.zip, r-oldrel: pgee.mixed_0.1.0.zip
OS X El Capitan binaries: r-release: pgee.mixed_0.1.0.tgz
OS X Mavericks binaries: r-oldrel: pgee.mixed_0.1.0.tgz

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