coala: A Framework for Coalescent Simulation

Coalescent simulators can rapidly simulate biological sequences evolving according to a given model of evolution. You can use this package to specify such models, to conduct the simulations and to calculate additional statistics from the results (Staab, Metzler, 2016 <doi:10.1093/bioinformatics/btw098>). It relies on existing simulators for doing the simulation, and currently supports the programs 'ms', 'msms' and 'scrm'. It also supports finite-sites mutation models by combining the simulators with the program 'seq-gen'. Coala provides functions for calculating certain summary statistics, which can also be applied to actual biological data. One possibility to import data is through the 'PopGenome' package (<>).

Version: 0.7.2
Depends: R (≥ 3.1.0)
Imports: assertthat (≥ 0.1), digest, methods, parallel, R6 (≥ 2.0.1), Rcpp (≥ 0.11.0), rehh (≥ 3.0.0), scrm (≥ 1.6.0-2), stats, utils
LinkingTo: Rcpp, RcppArmadillo (≥ 0.3.810.0)
Suggests: abc (≥ 2.0), knitr, PopGenome (≥ 2.1.0), phyclust (≥ 0.1-16), rmarkdown, testthat (≥ 0.11.0)
Published: 2024-03-04
DOI: 10.32614/CRAN.package.coala
Author: Paul Staab [aut], Dirk Metzler [aut, ths, cre], Jorge E. Amaya Romero [ctb]
Maintainer: Dirk Metzler <metzler at>
License: MIT + file LICENSE
NeedsCompilation: yes
Citation: coala citation info
Materials: README NEWS
CRAN checks: coala results


Reference manual: coala.pdf
Vignettes: Using Coala for Approximate Bayesian Computation
Importing Genetic Data into Coala
Adding Summary Statistics and Simulators
Using External Simulators
Introduction to Coala


Package source: coala_0.7.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): coala_0.7.2.tgz, r-oldrel (arm64): coala_0.7.2.tgz, r-release (x86_64): coala_0.7.2.tgz, r-oldrel (x86_64): coala_0.7.2.tgz
Old sources: coala archive

Reverse dependencies:

Reverse suggests: jaatha, jackalope


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