An Interface for Running 'ADMIXTOOLS' Analyses
person(given = "Martin",
family = "Petr",
role = c("aut", "cre"),
email = "contact@bodkan.net",
comment = c(ORCID = "0000-0003-4879-8421"))
An interface for performing all stages of 'ADMIXTOOLS' analyses
(<https://reich.hms.harvard.edu/software>) entirely from R. Wrapper functions
(D, f4, f3, etc.) completely automate the generation of intermediate
configuration files, run 'ADMIXTOOLS' programs on the command-line, and
parse output files to extract values of interest. This allows users to focus
on the analysis itself instead of worrying about low-level technical details.
A set of complementary functions for processing and filtering of data in
the 'EIGENSTRAT' format is also provided.
dplyr, magrittr, readr, stringr, tibble, stats, rlang, utils
covr, glue, testthat, tidyr, knitr, rmarkdown, tidyverse
ADMIXTOOLS suite of command-line utilities for
population genetics. See
<https://reich.hms.harvard.edu/software> for the most recent
installation instructions and further information.

Admixture Graph Manipulation and Fitting
c(person("Thomas", "Mailund", email = "mailund@birc.au.dk", role = c("cre", "aut")),
person("Kalle", "Leppala", email = "kalle.m.leppala@gmail.com", role = c("aut")))
Implements tools for building and visualising admixture graphs
and for extracting equations from them. These equations can be compared to f-
statistics obtained from data to test the consistency of a graph against data --
for example by comparing the sign of f_4-statistics with the signs predicted by
the graph -- and graph parameters (edge lengths and admixture proportions) can
be fitted to observed statistics.
doParallel, dplyr, foreach, ggplot2, graphics, MASS,
neldermead, parallel, pracma, stats, utils
Thomas Mailund [cre, aut],
Kalle Leppala [aut]

c(person("Thomas", "Mailund", email = "mailund@birc.au.dk", role = c("cre", "aut")),
person("Kalle", "Leppala", email = "kalle.m.leppala@gmail.com", role = c("aut")),
person("Svend", "Nielsen", email = "svn@cs.au.dk", role = c("aut")))
doParallel, dplyr, foreach, ggplot2, graphics, MASS,
neldermead, parallel, pracma, stats, utils, grDevices
Thomas Mailund [cre, aut],
Kalle Leppala [aut],
Svend Nielsen [aut]