simulekde: Simulate observations and return kernel density estimates

In DanielBonnery/BonneryBreidtCoquetMetronKDE: X

Description

Simulate observations and return kernel density estimates

Usage

simulekde(model, y0, nbreps = 300)

Arguments

model:	a model object
N:	integer, for population size
nbreps:	number of replicates

Examples

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)

DanielBonnery/BonneryBreidtCoquetMetronKDE documentation built on May 23, 2019, 11:32 p.m.