rmetasim overview

A Strand

2018-02-15

This package simulates individual-based population genetic data in forward time.

demography

In particular, it implements a set of functions that allow for a diverse set of demographies. These demographic conditions can change through time and include density-dependent and density-independent population regulation, extinction-recolonization dynamics. In addition, the within population demography can be simple to arbitrarily complex, the latter often needed when simulating complex management scenarios.

genetics

Genetics in rmetasim allows large numbers of unlinked loci that evolve either through infinite allele or stepwise mutation models. In addition, sequence evolution is possible and as a consequence SNPs

Notes for the newest version, 3

Version 3 of rmetasim implemented some significant changes to improve code quality and hopefully, usability.