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'))

Peer review:

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

On CRAN:

4.78 score 3 stars 9 scripts 443 downloads 9 exports 2 dependencies

Last updated 11 months agofrom:805633be96. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 11 2024
R-4.5-winOKNov 11 2024
R-4.5-linuxOKNov 11 2024
R-4.4-winOKNov 11 2024
R-4.4-macOKNov 11 2024
R-4.3-winOKNov 11 2024
R-4.3-macOKNov 11 2024

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 Nov 11 2024.

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

Demographic Inference with Jaatha

Rendered fromjaatha-evolution.Rmdusingknitr::rmarkdownon Nov 11 2024.

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