boot.palm: Bootstrapping for fitted models
In b-steve/nspp: Fitting point process models via the Palm likelihood

Description Usage Arguments Value Examples

Carries out a parametric bootstrap procedure for models fitted using the nspp package.

1	boot.palm(fit, N, prog = TRUE)

`fit`	A fitted object.
`N`	The number of bootstrap resamples.
`prog`	Logical, if `TRUE`, a progress bar is printed to the console.

The original model object containing additional information from the boostrap procedure. These are accessed by functions such as summary.

The original R6 reference object, with additional bootstrap information attached.

## Fit model.
fit <- fit.ns(example.2D, lims = rbind(c(0, 1), c(0, 1)), R = 0.5)
## Carry out bootstrap.
fit <- boot.palm(fit, N = 100)
## Inspect standard errors and confidence intervals.
summary(fit)
confint(fit)
## Estimates are very imprecise---these data were only used as
## they can be fitted and bootstrapped quickly for example purposes.