simulate_timeseries: simulate a timeseries

In ashander/phenoecosim: Simulations of eco-evo trait and demographic dynamics under changing environments

Description

simulate a timeseries

Usage

simulate_timeseries(nrep, Tlim, delta, rho, alpha, omegaz, Vb, sigma_xi, Npop0,
  var_a, Ve = Ve, fractgen = fractgen, omega_Wmax = omega_Wmax, A = A,
  B = B, stationarity = TRUE, K0 = 10000, density = "independent",
  thetalog = NA, poisson = FALSE, varying_g = FALSE, ...)

Arguments

nrep	reps
Tlim	max time
delta	shift
rho	predictability of the environmental noise
alpha	intial mean plasticity
omegaz	selection
Vb	variance in RN slope
sigma_xi	variance in the optimum
Npop0	initial population
var_a	variance in trait
Ve	microenvronemntal variance
fractgen	developmental delay
omega_Wmax	max productivity
A	reference environment intercept
B	environmental sensitivity of selection
stationarity	(logical) generate stationary IC if TRUE
K0	carrying capacity (default=10000)
density	density dependence ('independent', 'gompertz', 'thetalogistic', 'ceiling')
thetalog	theta parameter for theta-logistic
poisson	(logical) reproduction occurs as N(t+1) = Poisson(f(N(t)))
varying_g	(logical) vary genetic variance parameters according to SHC approximation
...	avoid throwing errors if we pass too many? (bad idea)

Details

uses 'simulate_pheno_ts' under the hood. Poisson only implemented for density='independent' and 'thetalog'. For detail on SHC see help for simulate_pheno_ts and SHC.

ashander/phenoecosim documentation built on May 10, 2019, 1:52 p.m.