c(
person("Benjamin", "Christoffersen",
email = "boennecd@gmail.com",
role = c("cre", "aut"),
comment = c(ORCID = "0000-0002-7182-1346")),
person("Alan", "Genz",
role = c("cph")),
person("Frank", "Bretz",
role = c("cph")),
person("Bjoern", "Bornkamp",
role = c("cph")),
person("Torsten", "Hothorn",
role = c("cph")),
person("Christophe", "Dutang",
role = c("cph")),
person("Diethelm", "Wuertz",
role = c("cph")),
person("R-core", email = "R-core@R-project.org",
role = "cph"),
person("Leo", "Belzile",
role = "cph"),
person("Zdravko", "Botev",
role = "cph"))
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.
testthat, mvtnorm, xml2, knitr, rmarkdown, R.rsp, abind,
kinship2, igraph, TruncatedNormal
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]

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

Mutation Models for Pedigree Likelihood Computations
A collection of functions for modeling mutations in pedigrees with
marker data, as used e.g. in likelihood computations with microsatellite data.
Implemented models include proportional and stepwise models, as well as random
models for experimental work, and custom models allowing the user to apply any
valid mutation matrix. Allele lumping is done following the lumpability criteria
of Kemeny and Snell (1976), ISBN:0387901922.