The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.

lchemix: A Bayesian Multi-Dimensional Couple-Based Latent Risk Model

A joint latent class model where a hierarchical structure exists, with an interaction between female and male partners of a couple. A Bayesian perspective to inference and Markov chain Monte Carlo algorithms to obtain posterior estimates of model parameters. The reference paper is: Beom Seuk Hwang, Zhen Chen, Germaine M.Buck Louis, Paul S. Albert, (2018) "A Bayesian multi-dimensional couple-based latent risk model with an application to infertility". Biometrics, 75, 315-325. <doi:10.1111/biom.12972>.

Version: 0.1.0
Imports: MCMCpack, mvtnorm
Suggests: knitr, rmarkdown
Published: 2020-02-28
Author: Beom Seuk Hwang [aut], Zhen Chen [aut], Germaine M. Buck Louis [aut], Paul S. Albert [aut], Weimin Zhang [cre]
Maintainer: Weimin Zhang <zhangwm at hotmail.com>
BugReports: http://github.com/wzhang17/lchemix/issues
License: GPL-3
URL: http://github.com/wzhang17/lchemix.git, https://doi.org/10.1111/biom.12972
NeedsCompilation: no
Materials: README
CRAN checks: lchemix results

Documentation:

Reference manual: lchemix.pdf
Vignettes: Package lchemix

Downloads:

Package source: lchemix_0.1.0.tar.gz
Windows binaries: r-devel: lchemix_0.1.0.zip, r-release: lchemix_0.1.0.zip, r-oldrel: lchemix_0.1.0.zip
macOS binaries: r-release (arm64): lchemix_0.1.0.tgz, r-oldrel (arm64): lchemix_0.1.0.tgz, r-release (x86_64): lchemix_0.1.0.tgz, r-oldrel (x86_64): lchemix_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=lchemix to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.