Scalable Framework for Importance Sampling (infinite-sites model) in Population Genetics Dec 10, 2013

a Reproducible Research as Championed by Victoria Stodden

`cumulative` Features:

Importance Sampling using Multiple Proposals
1. run sampler by size or time
2. compute likelihood
3. compute MLE
4. multi-core ready

Release Summary:

The brown dog jumped over the black fox. The brown dog jumped over the black fox. The brown dog jumped over the black fox.

The brown dog jumped over the black fox. The brown dog jumped over the black fox. The brown dog jumped over the black fox.

The brown dog jumped over the black fox. The brown dog jumped over the black fox. The brown dog jumped over the black fox.

Coalescent: An open-source and scalable framework for Importance Sampling in coalescent theory (under review)
Coalescent: An open-source and scalable framework for Exact Calculations in coalescent theory BMC Bioinformatics (2012) 13:257

^{Supported by:} ^{Powered by:}