pedmod: Pedigree Models

Provides functions to estimate mixed probit models using, for instance, pedigree data like in <doi:10.1002/sim.1603>. 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 <doi:10.1198/106186002394> with a similar procedure to approximate the derivatives. The minimax tilting method suggested by <doi:10.1111/rssb.12162> is also supported. Graph-based methods are also provided that can be used to simplify pedigrees.

Getting started

Package details

AuthorBenjamin Christoffersen [cre, aut] (<>), Alan Genz [cph], Frank Bretz [cph], Bjoern Bornkamp [cph], Torsten Hothorn [cph], Christophe Dutang [cph], Diethelm Wuertz [cph], R-core [cph], Leo Belzile [cph], Zdravko Botev [cph]
MaintainerBenjamin Christoffersen <>
Package repositoryView on CRAN
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pedmod documentation built on Sept. 11, 2022, 5:05 p.m.