Reversible-Jump MCMC Using Post-Processing (rjmcmc)
Performs reversible-jump MCMC (Green, 1995) <doi:10.2307/2337340>, specifically the restriction introduced by Barker & Link (2013) <doi:10.1080/00031305.2013.791644>. By utilising a ‘universal parameter’ space, RJMCMC is treated as a Gibbs sampling problem. Previously-calculated posterior distributions are used to quickly estimate posterior model probabilities. Jacobian matrices are found using automatic differentiation.

EDGE Taxonomy Assignments Visualization (MetaComp)
Implements routines for metagenome sample taxonomy assignments collection, aggregation, and visualization. Accepts the EDGE-formatted output from GOTTCHA/GOTTCHA2, BWA, Kraken, and MetaPhlAn. Produces SVG and PDF heatmap-like plots comparing taxa abundances across projects.

Test for Parallel Regression Assumption (brant)
Tests the parallel regression assumption for ordinal logit models generated with the function polr() from the package MASS.

Frequent Contiguous Sequential Pattern Mining of Text (CSeqpat)
Mines contiguous sequential patterns in text.