jaatha: Simulation-Based Maximum Likelihood Parameter Estimation (original) (raw)
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 |
| 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 |
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