Authors@R: c(person("Jeffrey", "Chrabaszcz", role = c("aut", "cre"), email = "jchrabaszcz@gmail.com"), person("Joe", "Tidwell", role = "aut"), person("Michael", "Dougherty", role = c("aut")))
Description: An R-language implementation of the General Monotone Model proposed by Michael Dougherty and Rick Thomas. It is a procedure for estimating weights for a set of independent predictors that minimize the rank-order inversions between the model predictions and some outcome.

Title: GEMMA Multivariate Linear Mixed Model
Description: Fits a multivariate linear mixed effects model that uses a polygenic term, after Zhou & Stephens (2014) (<https://www.nature.com/articles/nmeth.2848>). Of particular interest is the estimation of variance components with restricted maximum likelihood (REML) methods. Genome-wide efficient mixed-model association (GEMMA), as implemented in the package 'gemma2', uses an expectation-maximization algorithm for variance components inference for use in quantitative trait locus studies.
Author: Frederick Boehm [aut, cre] (<https://orcid.org/0000-0002-1644-5931>)

Suggests: covr, testthat, knitr, rmarkdown, readr

Package: gems
Type: Package
Title: Generalized multistate simulation model
Version: 0.9.1
Date: 2012-01-25
Author: Luisa Salazar Vizcaya, Nello Blaser, Thomas Gsponer
Maintainer: Luisa Salazar Vizcaya <lsalazar@ispm.unibe.ch>
Imports: MASS, methods, msm, mstate, plyr, graphics, stats, utils
Depends: methods
Description: This package allows to simulating and analyzing multistate
models with general hazard functions. It provides functionality
for the preparation of hazard functions and parameters,
simulation from a general multistate model and predicting
future events. The multistate model is not required to be a
Markov model and may take the history of previous events into
account. In the basic version, it allows to simulate from
transition-specific hazard function, whose parameters are
multivariable normally distributed.
License: GPL-2
Packaged: 2013-02-18 08:56:42 UTC; Nello
NeedsCompilation: no
Repository: CRAN
Date/Publication: 2013-02-18 13:09:58