Package: jaatha
Version: 3.2.5
License: GPL (>= 3)
Title: Simulation-Based Maximum Likelihood Parameter Estimation
Authors@R: c(
    person('Paul', 'Staab', role=c('aut')),
    person('Lisha', 'Mathew', role=c('aut')),
    person('Dirk', 'Metzler', ,'metzler@bio.lmu.de', role=c('aut', 'ths', 'cre')) )
Author: Paul Staab [aut],
  Lisha Mathew [aut],
  Dirk Metzler [aut, ths, cre]
Description: 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.
URL: https://github.com/statgenlmu/jaatha
BugReports: https://github.com/statgenlmu/jaatha/issues
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)
VignetteBuilder: knitr
RoxygenNote: 7.2.3
Maintainer: Dirk Metzler <metzler@bio.lmu.de>
NeedsCompilation: no
Packaged: 2024-01-08 09:15:00 UTC; dirk
Repository: CRAN
Date/Publication: 2024-01-08 11:50:01 UTC
Built: R 4.2.3; ; 2024-04-24 00:45:30 UTC; windows
