Title: Bayesian monotonic nonparametric regression
Description: Implements the Bayesian nonparametric monotonic regression
method described in Bornkamp & Ickstadt (2009), Biometrics, 65,

Title: Bayesian Monotonic Nonparametric Regression
method described in Bornkamp & Ickstadt (2009), Biometrics, 65, 198-205.

Title: Simulate Genotypes from the BN-PSD Admixture Model
person("Alejandro", "Ochoa", email = "ochoa@princeton.edu", role = c("aut", "cre")),
person("John D.", "Storey", email = "jstorey@princeton.edu", role = c("aut"))
Description: The Pritchard-Stephens-Donnelly (PSD) admixture model has k intermediate subpopulations from which n individuals draw their alleles dictated by their individual-specific admixture proportions.  The BN-PSD model additionally imposes the Balding-Nichols (BN) allele frequency model to the intermediate populations, which therefore evolved independently from a common ancestral population T with subpopulation-specific FST (Wright's fixation index) parameters.  The BN-PSD model can be used to yield complex population structures.  Method described in Ochoa and Storey (2016) <doi:10.1101/083923>.
Suggests: popkin, testthat, knitr, rmarkdown, RColorBrewer

person("Alejandro", "Ochoa", email = "alejandro.ochoa@duke.edu", role = c("aut", "cre")),

Suggests: popkin (>= 1.2.2), testthat, knitr, rmarkdown, RColorBrewer
Author: Alejandro Ochoa [aut, cre] (<https://orcid.org/0000-0003-4928-3403>),

Description: The Pritchard-Stephens-Donnelly (PSD) admixture model has k intermediate subpopulations from which n individuals draw their alleles dictated by their individual-specific admixture proportions.  The BN-PSD model additionally imposes the Balding-Nichols (BN) allele frequency model to the intermediate populations, which therefore evolved independently from a common ancestral population T with subpopulation-specific FST (Wright's fixation index) parameters.  The BN-PSD model can be used to yield complex population structures.  Method described in Ochoa and Storey (2021) <doi:10.1371/journal.pgen.1009241>.