Package: jaatha 3.2.5

Dirk Metzler

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.

Authors:Paul Staab [aut], Lisha Mathew [aut], Dirk Metzler [aut, ths, cre]

jaatha_3.2.5.tar.gz
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jaatha.pdf |jaatha.html
jaatha/json (API)
NEWS

# Install 'jaatha' in R:
install.packages('jaatha', repos = c('https://statgenlmu.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/statgenlmu/jaatha/issues

On CRAN:

Conda:

4.48 score 3 stars 9 scripts 528 downloads 9 exports 2 dependencies

Last updated 1 years agofrom:805633be96. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 11 2025
R-4.5-winOKMar 11 2025
R-4.5-macOKMar 11 2025
R-4.5-linuxOKMar 11 2025
R-4.4-winOKMar 11 2025
R-4.4-macOKMar 11 2025
R-4.4-linuxOKMar 11 2025
R-4.3-winOKMar 11 2025
R-4.3-macOKMar 11 2025

Exports:boot_jaathacoarsen_jsfscreate_jaatha_datacreate_jaatha_modelcreate_jaatha_model.coalmodelcreate_jaatha_model.functioncreate_jaatha_statestimate_llhjaatha

Dependencies:assertthatR6

Introduction to Jaatha

Rendered fromjaatha-intro.Rmdusingknitr::rmarkdownon Mar 11 2025.

Last update: 2022-08-13
Started: 2015-11-24

Demographic Inference with Jaatha

Rendered fromjaatha-evolution.Rmdusingknitr::rmarkdownon Mar 11 2025.

Last update: 2022-02-14
Started: 2015-11-24