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. It has optional support for conducting coalescent simulation using the 'coala' package.

Version: 3.2.0
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: 2016-05-13
Author: Paul Staab [aut, cre], Lisha Mathew [aut], Dirk Metzler [aut, ths]
Maintainer: Paul Staab <develop at paulstaab.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
In views: Phylogenetics
CRAN checks: jaatha results


Reference manual: jaatha.pdf
Vignettes: Using Jaatha for Demographic Inference
Introduction to Jaatha
Package source: jaatha_3.2.0.tar.gz
Windows binaries: r-devel: jaatha_3.2.0.zip, r-release: jaatha_3.2.0.zip, r-oldrel: jaatha_3.2.0.zip
OS X El Capitan binaries: r-release: jaatha_3.2.0.tgz
OS X Mavericks binaries: r-oldrel: jaatha_3.2.0.tgz
Old sources: jaatha archive


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