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pedmod
View on CRAN: Click
here
Download and install pedmod package within the R console
Install from CRAN:
install.packages("pedmod")
Install from Github:
library("remotes")
install_github("cran/pedmod") Install by package version:
library("remotes")
install_version("pedmod", "0.2.4") Attach the package and use:
library("pedmod")
Maintained by
Benjamin Christoffersen
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-10-29
Latest Update:
Description:
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. The minimax tilting method
suggested by is also supported. Graph-based methods
are also provided that can be used to simplify pedigrees.
How to cite:
Benjamin Christoffersen (2021). pedmod: Pedigree Models. R package version 0.2.4, https://cran.r-project.org/web/packages/pedmod. Accessed 07 Aug. 2026.
Previous versions and publish date:
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Other R packages that pedmod depends,
imports, suggests or enhances
Functions, R codes and Examples using
the pedmod R package
Some associated functions: biconnected_components . block_cut_tree . eval_pedigree . max_balanced_partition . mvndst . pedigree_ll_terms . pedmod_opt . pedmod_profile . pedmod_profile_nleq . pedmod_profile_prop . pedmod_sqn . standardized_to_direct . unconnected_partition .
Some associated R codes: RcppExports.R . catch-routine-registration.R . eval_wrappers.R . graph-partitioning.R . opt.R . pedmod-package.R . transform-parameters.R . Full pedmod package functions and examples
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