Pedigree Models

Provides functions to estimate mixed probit models using, for instance, pedigree data like in . The models are also commonly called liability threshold models. The approximation is based on direct log marginal likelihood approximations like the randomized Quasi-Monte Carlo suggested by with a similar procedure to approximate the derivatives. Graph-based methods are also provided that can be used to simplify pedigrees.


Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.


0.1.0 by Benjamin Christoffersen, a month ago

Browse source code at

Authors: Benjamin Christoffersen [cre, aut] , Alan Genz [cph] , Frank Bretz [cph] , Bjoern Bornkamp [cph] , Torsten Hothorn [cph] , Christophe Dutang [cph] , Diethelm Wuertz [cph] , R-core [cph]

Documentation:   PDF Manual  

GPL-2 license

Imports Rcpp

Suggests testthat, mvtnorm, xml2, knitr, rmarkdown, R.rsp, abind, kinship2, igraph

Linking to Rcpp, RcppArmadillo, BH, testthat

System requirements: C++14

See at CRAN