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.
mmKimura(alpha, beta)An object of type float or float. Must be of length 1 (a singleton). See details for description.
An object of type float or float. Must be of length 1 (a singleton). See details for description.
An object of type float.
Documentation for this function can be found in the official SLiM manual: page 749.
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.
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/
Other SLiMBuiltin:
SB,
calcFST(),
calcHeterozygosity(),
calcInbreedingLoad(),
calcPairHeterozygosity(),
calcVA(),
calcWattersonsTheta(),
codonsToAminoAcids(),
mm16To256(),
mmJukesCantor(),
nucleotideCounts(),
nucleotideFrequencies(),
nucleotidesToCodons(),
summarizeIndividuals(),
treeSeqMetadata()
## This just brings up the documentation:
mmKimura()