Imports: sf, graphics, mapiso, parallel, doParallel, foreach
Suggests: covr, lwgeom, eurostat, giscoR, mapsf, knitr, tinytest,

Title: Tools for Internationalization and Portability in R Packages
Suggests: crayon, knitr, rmarkdown, testthat
Description: Translating messages in R packages is managed using the po top-level directory and the gettext program. This package provides some helper functions for building this support in R packages, e.g. common validation & I/O tasks.

Description: Translating messages in R packages is managed using the po top-level directory and the 'gettext' program. This package provides some helper functions for building this support in R packages, e.g. common validation & I/O tasks.

Title: Markov Chain Monte Carlo for Potts Models

Author: Charles J. Geyer <charlie@stat.umn.edu> and Leif Johnson

Description: Do Markov chain Monte Carlo (MCMC) simulation of Potts models
which are the multi-color generalization of Ising models
(so, as as special case, also simulates Ising models).
Use the Swendsen-Wang algorithm (Swendsen and Wang, 1987,
<doi:10.1103/PhysRevLett.58.86>) so MCMC is fast.
Do maximum composite likelihood estimation of parameters

Description: Does Markov chain Monte Carlo (MCMC) simulation of Potts models
and composite likelihood inference for Potts models.

Description: It does Markov chain Monte Carlo (MCMC) simulation of Potts models
It uses the Swendsen-Wang algorithm (Swendsen and Wang, 1987,
<http://doi.org/10.1103/PhysRevLett.58.86>) so MCMC is fast.
It does maximum composite likelihood estimation of parameters

<https://doi.org/10.1103/PhysRevLett.58.86>) so MCMC is fast.

Title: Phased or Unphased Linkage Disequilibrium
Authors@R: person("Steven", "Mack", email = "steven.mack@ucsf.edu", role = c("aut", "cre"))
Description: Computes the D', Wn, and conditional asymmetric linkage disequilibrium (ALD) measures for pairs of genetic loci. Performs these linkage disequilibrium (LD) calculations on phased genotype data recorded using Genotype List (GL) String or columnar formats. Alternatively, generates expectation-maximization (EM) estimated haplotypes from phased data, or performs LD calculations on EM estimated haplotypes. Performs sign tests comparing LD values for phased and unphased datasets, and generates heat-maps for each LD measure. Described by Osoegawa et al. (2019a) <doi:10.1016/j.humimm.2019.01.010>, and Osoegawa et. al. (2019b) <doi:10.1016/j.humimm.2019.05.018>.