logistic: simulate evolution under the logistic branching model

In cboettig/fluctuationDomains: Fluctuation Domains in Adaptive Evolution

Description

simulate evolution under the logistic branching model

Usage

logistic(
  Xo = 1,
  Ko = 1,
  SIGMA2_K = 1,
  SIGMA2_C = 1.01,
  R = 10,
  MU = 1,
  SIGMA2_MU = 5e-04,
  MAX_TIME = 3000,
  ENSEMBLES = 100,
  Dt = 100,
  dt = 0.1
)

Arguments

Xo	starting trait
Ko	carrying capacity
SIGMA2_K	carrying capacity kernel width
SIGMA2_C	competition kernel width (wider means no branching)
R	growth rate
MU	mutation rate
SIGMA2_MU	mutation step size
MAX_TIME	simulation time
ENSEMBLES	number of replicates
Dt	sampling time
dt	step size

Details

an R function to call the c code for simulation

Value

a data frame with evolved trajectories

Examples

out = logistic(Xo = 2)

cboettig/fluctuationDomains documentation built on Sept. 19, 2020, 9:42 p.m.