Description Usage Arguments Examples
Simulate observations and return kernel density estimates
1 | simulekde(model, y0, nbreps = 300)
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model: |
a model object |
N: |
integer, for population size |
nbreps: |
number of replicates |
1 2 3 4 5 6 7 | popmodelfunction = model.Pareto.bernstrat
theta=4;xi=1;conditionalto=list(N=10000,sampleparam=list(tauh=c(0.01,0.1)))
model<-popmodelfunction(theta,xi,conditionalto);y0=1.5
Obs<-generate.observations(model)
simulekde(model,1,100)
library(ggplot2)
ggplot(data=data.frame(y=Obs$y), aes(y)) +geom_density()+stat_function(fun=model$dloiy)
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