jaatha: Simulation-Based Maximum Likelihood Parameter Estimation

An estimation method that can use computer simulations to approximate maximum-likelihood estimates even when the likelihood function can not be evaluated directly. It can be applied whenever it is feasible to conduct many simulations, but works best when the data is approximately Poisson distributed. It was originally designed for demographic inference in evolutionary biology (Naduvilezhath et al., 2011 <doi:10.1111/j.1365-294X.2011.05131.x>, Mathew et al., 2013 <doi:10.1002/ece3.722>). It has optional support for conducting coalescent simulation using the 'coala' package.

Version: 3.2.5
Depends: R (≥ 3.0)
Imports: assertthat (≥ 0.1), R6 (≥ 2.1.1), parallel, stats, utils
Suggests: boot (≥ 1.3-10), coala (≥ 0.2.1), knitr, rmarkdown, testthat (≥ 0.11.0)
Published: 2024-01-08
DOI: 10.32614/CRAN.package.jaatha
Author: Paul Staab [aut], Lisha Mathew [aut], Dirk Metzler [aut, ths, cre]
Maintainer: Dirk Metzler <metzler at bio.lmu.de>
BugReports: https://github.com/statgenlmu/jaatha/issues
License: GPL (≥ 3)
URL: https://github.com/statgenlmu/jaatha
NeedsCompilation: no
Citation: jaatha citation info
Materials: README NEWS
CRAN checks: jaatha results


Reference manual: jaatha.pdf
Vignettes: Using Jaatha for Demographic Inference
Introduction to Jaatha


Package source: jaatha_3.2.5.tar.gz
Windows binaries: r-devel: jaatha_3.2.5.zip, r-release: jaatha_3.2.5.zip, r-oldrel: jaatha_3.2.5.zip
macOS binaries: r-release (arm64): jaatha_3.2.5.tgz, r-oldrel (arm64): jaatha_3.2.5.tgz, r-release (x86_64): jaatha_3.2.5.tgz, r-oldrel (x86_64): jaatha_3.2.5.tgz
Old sources: jaatha archive


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