set_RMF_indWeight {rSHAPE}

In a RMF fitness landscape model, there is a weighting value applied to the independent fitness contribution term. This function calculates that value for the run

Description

In a RMF fitness landscape model, there is a weighting value applied to the independent fitness contribution term. This function calculates that value for the run

Usage

set_RMF_indWeight(func_simModel = getOption("shape_simModel"),
  func_numDraws = 1e+08, func_distType = getOption("shape_constDist"),
  func_distParms = getOption("shape_const_distParameters"),
  func_const_RMF_theta = getOption("shape_const_RMF_theta"))

Arguments

func_simModel

This is the model of fitness landscape being considered

func_numDraws

This is the number of draws taken from the independent term's distribution so that we can identify the amount of variance in that distribution. It should be a large integer – eg 5e7

func_distType

This is the distribution string reference for this run

func_distParms

These are the parameters for this runs distribution function

func_const_RMF_theta

This is the theta value which is multiplied to the variance in the distribution. The value returned will be a product of this numeric and the variance calulated. From Neidhart 2014 theta is measured as: theta = c / sqrt var random_component and so if we want to calculate "c" we return the product of theta and sqrt of variance in the distribution

Value

A single numeric value, which may be NA if a non Rough Mount Fuji model is being simulated

Note

There is no example as this cannot work outisde of a runSHAPE call, it requires data produced by the simulation experiment.