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 |
| 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 |
| 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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