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jaatha  

Simulation-Based Maximum Likelihood Parameter Estimation
View on CRAN: Click here


Download and install jaatha package within the R console
Install from CRAN:
install.packages("jaatha")

Install from Github:
library("remotes")
install_github("cran/jaatha")

Install by package version:
library("remotes")
install_version("jaatha", "3.2.5")



Attach the package and use:
library("jaatha")
Maintained by
Dirk Metzler
[Scholar Profile | Author Map]
First Published: 2013-01-09
Latest Update: 2024-01-08
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 (Naduvilezhath et al., 2011 , Mathew et al., 2013 ). It has optional support for conducting coalescent simulation using the 'coala' package.
How to cite:
Dirk Metzler (2013). jaatha: Simulation-Based Maximum Likelihood Parameter Estimation. R package version 3.2.5, https://cran.r-project.org/web/packages/jaatha. Accessed 29 Mar. 2025.
Previous versions and publish date:
2.0.0 (2013-01-09 14:25), 2.0.1 (2013-01-11 18:44), 2.0.2 (2013-01-21 15:09), 2.1 (2013-09-10 12:22), 2.2 (2013-12-10 11:08), 2.3 (2014-03-21 13:08), 2.4 (2014-06-03 09:44), 2.5.1 (2014-08-14 10:51), 2.5 (2014-07-28 17:46), 2.6 (2014-09-03 15:52), 2.7.0 (2014-11-26 18:09), 3.0.0 (2015-12-03 13:28), 3.1.0 (2016-01-27 20:39), 3.1.1 (2016-02-05 19:15), 3.2.0 (2016-05-13 22:54), 3.2.1 (2019-07-10 18:42), 3.2.2 (2022-02-15 17:10), 3.2.3 (2023-01-08 17:30), 3.2.4 (2023-03-12 11:30)
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Complete documentation for jaatha
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