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, Mathew et al., 2013). It has optional support for conducting coalescent simulation using the 'coala' package.
- Version3.2.5
- R versionunknown
- LicenseGPL (≥ 3)
- Needs compilation?No
- jaatha citation info
- Last release01/08/2024
Documentation
Team
Dirk Metzler
Paul Staab
Show author detailsRolesAuthorLisha Mathew
Show author detailsRolesAuthor
Insights
Last 30 days
This package has been downloaded 314 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 3 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 4,967 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 26, 2024 with 75 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports2 packages
- Suggests5 packages