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. Graph-based methods are also provided that can be used to simplify pedigrees.

Version: 0.1.0
Depends: R (≥ 3.5.0)
Imports: Rcpp
LinkingTo: Rcpp, RcppArmadillo, BH, testthat
Suggests: testthat, mvtnorm, xml2, knitr, rmarkdown, R.rsp, abind, kinship2, igraph
Published: 2021-10-29
Author: 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]
Maintainer: Benjamin Christoffersen <boennecd at>
License: GPL-2
NeedsCompilation: yes
SystemRequirements: C++14
CRAN checks: pedmod results


Reference manual: pedmod.pdf
Vignettes: partitioning families


Package source: pedmod_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): pedmod_0.1.0.tgz, r-release (x86_64): pedmod_0.1.0.tgz, r-oldrel: pedmod_0.1.0.tgz


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