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MADPop  

MHC Allele-Based Differencing Between Populations
View on CRAN: Click here


Download and install MADPop package within the R console
Install from CRAN:
install.packages("MADPop")

Install from Github:
library("remotes")
install_github("cran/MADPop")

Install by package version:
library("remotes")
install_version("MADPop", "1.1.7")



Attach the package and use:
library("MADPop")
Maintained by
Martin Lysy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-18
Latest Update: 2024-02-27
Description:
Tools for the analysis of population differences using the Major Histocompatibility Complex (MHC) genotypes of samples having a variable number of alleles (1-4) recorded for each individual. A hierarchical Dirichlet-Multinomial model on the genotype counts is used to pool small samples from multiple populations for pairwise tests of equality. Bayesian inference is implemented via the 'rstan' package. Bootstrapped and posterior p-values are provided for chi-squared and likelihood ratio tests of equal genotype probabilities.
How to cite:
Martin Lysy (2017). MADPop: MHC Allele-Based Differencing Between Populations. R package version 1.1.7, https://cran.r-project.org/web/packages/MADPop. Accessed 06 Oct. 2026.
Previous versions and publish date:
1.1.1 (2018-10-27 17:20), 1.1.2 (2018-11-08 17:00), 1.1.4 (2022-08-22 11:20), 1.1.5 (2023-04-04 17:00), 1.1.6 (2023-10-13 18:30), 1.1 (2017-01-18 08:37), (2026-07-09 08:08)
Other packages that cited MADPop R package
View MADPop citation profile
Other R packages that MADPop depends, imports, suggests or enhances
Complete documentation for MADPop
Functions, R codes and Examples using the MADPop R package
Some associated functions: LRT.stat . MADPop . UM.eqtest . UM.suff . chi2.stat . colSort . fish215 . geno.format . hUM.post . 
Some associated R codes: LRT.stat.R . MADPop-package.R . UM.eqtest.R . UM.suff.R . chi2.stat.R . colSort.R . fish215.R . geno.format.R . hUM.post.R . stanmodels.R .  Full MADPop package functions and examples
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