JointRegBC: Joint Modelling of Mixed Correlated Binary and Continuous Responses : A Latent Variable Approach

A joint regression model for mixed correlated binary and continuous responses is presented. In this model binary response can be dependent on the continuous response. With this model, the dependence between responses can be taken into account by the correlation between errors in the models for binary and continuous responses.

Version: 0.1.1
Depends: R (≥ 2.14.0), nlme, MASS, survival
Published: 2013-06-16
Author: Ehsan Bahrami Samani and Zhale Tahmasebinejad
Maintainer: Ehsan Bahrami Samani <ehsan_bahrami_samani at yahoo.com>
Contact: +982129902910
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: JointRegBC results

Downloads:

Reference manual: JointRegBC.pdf
Package source: JointRegBC_0.1.1.tar.gz
Windows binaries: r-devel: JointRegBC_0.1.1.zip, r-release: JointRegBC_0.1.1.zip, r-oldrel: JointRegBC_0.1.1.zip
OS X Snow Leopard binaries: r-release: JointRegBC_0.1.1.tgz, r-oldrel: JointRegBC_0.1.1.tgz
OS X Mavericks binaries: r-release: JointRegBC_0.1.1.tgz