jaatha: A Fast Parameter Estimation Method for Evolutionary Biology

Jaatha is a composite likelihood method for inferring evolutionary parameters using genetic data. Given a model of the evolutionary history of two biological populations as well as SNP data from multiple individuals from each population, it estimates model parameters like the time of separation of both species.

Version: 2.3
Depends: R (≥ 3.0), methods
Imports: foreach (≥ 1.2.0-1), phyclust (≥ 0.1-14), Rcpp (≥ 0.11.0), plyr (≥ 1.8), parallel
LinkingTo: Rcpp
Suggests: ape (≥ 2.7), RUnit
Published: 2014-03-21
Author: Lisha Mathew, Paul R. Staab and Dirk Metzler
Maintainer: Paul R. Staab <staab at biologie.uni-muenchen.de>
BugReports: https://github.com/paulstaab/jaatha
License: GPL (≥ 3)
URL: http://evol.bio.lmu.de/_statgen/software/jaatha
NeedsCompilation: yes
Citation: jaatha citation info
Materials: README NEWS
CRAN checks: jaatha results


Reference manual: jaatha.pdf
Vignettes: Custom Simulation Method
The Jaatha HowTo
Package source: jaatha_2.3.tar.gz
MacOS X binary: jaatha_2.3.tgz
Windows binary: jaatha_2.3.zip
Old sources: jaatha archive