FR_Data_Sim: Functional Response Experiment Simulation

In eahamman/Predator.Diversity: Simulations and fitting of functional responses

Functional Response Experiment Simulation

Description

Functional Response Experiment Simulation

Usage

FR_Data_Sim(
  afun,
  FRfun,
  a,
  a_sd,
  h,
  d,
  gamma,
  reps,
  N0s,
  Sizes,
  tval,
  deterministic = FALSE,
  logRE = TRUE
)

Arguments

afun	Size-dependent attack rate function
FRfun	Hollings or Rogers
a	maximum attack rate
a_sd	random effect standard deviation
h	handling time
d	size at max attack rate
gamma	shape parameter for size dependence
reps	number of replicates (or blocks) in the experiment
N0s	vector of initial densities
Sizes	vector of size classes
tval	number of timesteps in experiment
deterministic	return probability instead of binomal RV
logRE	implement random effects on log scale

Examples

sim1 <- FR_Data_Sim("Ricker","Rogers",a=1,a_sd=0.1,
         h=1,d=1,reps=10,N0s=seq(10,40,by=10),Sizes=1:10,tval=10)

eahamman/Predator.Diversity documentation built on April 28, 2022, 5:48 p.m.