mmKimura: SLiM method mmKimura
In rdinnager/slimrlang: Write SLiM Population Genetics Simulation Scripts in R

Description Usage Arguments Details Value Copyright Author(s)

Documentation for SLiM function mmKimura, which is a method of the SLiM class SLiMBuiltin. Note that the R function is a stub, it does not do anything in R (except bring up this documentation). It will only do anything useful when used inside a slim_block function further nested in a slim_script function call, where it will be translated into valid SLiM code as part of a full SLiM script.

1	mmKimura(alpha, beta)

`alpha`	An object of type float or float. Must be of length 1 (a singleton). See details for description.
`beta`	An object of type float or float. Must be of length 1 (a singleton). See details for description.

Returns a mutation matrix representing a Kimura (1980) model with transition rate alpha and transversion rate beta: This 2×2 matrix is suitable for use with initializeGenomicElementType(). Note that the actual mutation rate produced by this model is alpha+2*beta.

An object of type string or float or float or float or integer or float or integer.

This is documentation for a function in the SLiM software, and has been reproduced from the official manual, which can be found here: http://benhaller.com/slim/SLiM_Manual.pdf. This documentation is Copyright © 2016–2020 Philipp Messer. All rights reserved. More information about SLiM can be found on the official website: https://messerlab.org/slim/

Benjamin C Haller (bhaller@benhaller.com) and Philipp W Messer (messer@cornell.edu)

rdinnager/slimrlang documentation built on June 20, 2020, 8:17 p.m.