NScluster (version 1.3.6-1)

boot.mple: Bootstrap resampling for MPLE

Description

Carry out bootstrap replicates of MPLE on simulated data.

Usage

boot.mple(mple.out, n = 100, conf.level = 0.95, se = TRUE, trace = FALSE)
# S3 method for boot.mple
summary(object, ...)

Value

boot.mple returns an object of class "boot.mple" containing the following components:

boot.mples

a matrix of n rows each of which is a bootstrap replicate of the result of calling mple.cppm.

confint

confidence intervals for MPLEs.

mple

MPLE of mple.out passed as 'pars' argument to sim.cppm.

Arguments

mple.out

an object of class "mple", usually the result of a call to mple.cppm.

n

number of bootstrap replicates performed.

conf.level

the confidence level required.

se

logical. If TRUE standard errors are returned.

trace

logical: if TRUE, a progress bar is shown.

object

an object of class "boot.mple".

...

ignored.

Examples

### Thomas Model
# simulation
pars <- c(mu = 50.0, nu = 30.0, sigma = 0.03)
t.sim <- sim.cppm("Thomas", pars, seed = 117)

if (FALSE)  # estimation (need long CPU time)
init.pars <- c(mu = 40.0, nu = 40.0, sigma = 0.05)
t.mple <- mple.cppm("Thomas", t.sim$offspring$xy, init.pars)
t.boot <- boot.mple(t.mple)
summary(t.boot)