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Ease: Simulating Explicit Population Genetics Models

Implementation in a simple and efficient way of fully customisable population genetics simulations, considering multiple loci that have epistatic interactions. Specifically suited to the modelling of multilocus nucleocytoplasmic systems (with both diploid and haploid loci), it is nevertheless possible to simulate purely diploid (or purely haploid) genetic models. Examples of models that can be simulated with Ease are numerous, for example models of genetic incompatibilities as presented by Marie-Orleach et al. (2022) <doi:10.1101/2022.07.25.501356>. Many others are conceivable, although few are actually explored, Ease having been developed in particular to provide a solution so that these kinds of models can be simulated simply.

Version: 0.1.2
Imports: methods, Rcpp (≥ 1.0.7), RcppProgress (≥ 0.1), stats
LinkingTo: Rcpp, RcppProgress
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0)
Published: 2022-11-07
Author: Ehouarn Le Faou [aut, cre]
Maintainer: Ehouarn Le Faou <ehouarnlefaou at orange.fr>
License: MIT + file LICENSE
NeedsCompilation: yes
Materials: NEWS
CRAN checks: Ease results

Documentation:

Reference manual: Ease.pdf
Vignettes: Why and how to use the Ease package?

Downloads:

Package source: Ease_0.1.2.tar.gz
Windows binaries: r-devel: Ease_0.1.2.zip, r-release: Ease_0.1.2.zip, r-oldrel: Ease_0.1.2.zip
macOS binaries: r-release (arm64): Ease_0.1.2.tgz, r-oldrel (arm64): Ease_0.1.2.tgz, r-release (x86_64): Ease_0.1.2.tgz, r-oldrel (x86_64): Ease_0.1.2.tgz
Old sources: Ease archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Ease to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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