Nothing
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
Browse package contents
Package details |
|
|---|---|
| Author | Benjamin Christoffersen [cre, aut] (<https://orcid.org/0000-0002-7182-1346>), 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] |
| Maintainer | Benjamin Christoffersen <boennecd@gmail.com> |
| License | GPL-3 |
| Version | 0.2.4 |
| URL | https://github.com/boennecd/pedmod |
| Package repository | View on CRAN |
| Installation |
Install the latest version of this package by entering the following in R:
|
Try the pedmod package in your browser
Any scripts or data that you put into this service are public.
