statgenlmu/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 (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.

Getting started

Package details

Author Paul Staab [aut], Lisha Mathew [aut], Dirk Metzler [aut, ths, cre]
MaintainerDirk Metzler <metzler@bio.lmu.de>
LicenseGPL (>= 3)
Version3.2.5
URL https://github.com/statgenlmu/jaatha
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("statgenlmu/jaatha")
statgenlmu/jaatha documentation built on Jan. 27, 2024, 1:32 p.m.