confint.boot.gapski: Extracts void point process parameter confidence intervals.

In cmjt/gapski: Estimation of parameters for void spaces

Description

Extracts confidence intervals for estimated and derived parameters from a model fitted using fit.gap, then bootstrapped using boot.gap.

Usage

## S3 method for class 'boot.gapski'
confint(object, parm = c("R", "D", "lambda"),
  level = 0.95, method = "percentile", ...)

Arguments

object	A fitted model from fit.gap, bootstrapped using boot.gap.
parm	A vector of parameter names, specifying which parameters are to be given confidence intervals.
level	The confidence level required.
method	A character string specifying the method used to calculate confidence intervals. Choices are "normal", for a normal approximation, and "percentile", for the percentile method.
...	Other parameters (for S3 generic compatability).

Details

Calculation of confidence intervals is via a normal approximation, whereby standard errors are calculated from the standard deviations of the parameter estimates across the bootstrap resamples. Bootstrap parameter estimates can be found in the boot component of the model object, so alternative confidence interval methods can be calculated by hand.

cmjt/gapski documentation built on May 13, 2019, 8:44 p.m.