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.

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Description file content

Package
jaatha
Version
3.2.1
License
GPL (>= 3)
Title
Simulation-Based Maximum Likelihood Parameter Estimation
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. It has optional support for conducting coalescent simulation using the 'coala' package.
URL
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
6.1.1
NeedsCompilation
no
Packaged
2019-07-10 16:21:46 UTC; paul
Author
Paul Staab [aut, cre], Lisha Mathew [aut], Dirk Metzler [aut, ths]
Maintainer
Paul Staab
Repository
CRAN
Date/Publication
2019-07-10 16:42:39 UTC

install.packages('jaatha')

3.2.1

7 days ago

https://github.com/statgenlmu/jaatha

Paul Staab

GPL (>= 3)

Depends on

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)

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