Summary Method for Pbootstrap Objects

DESCRIPTION:

Produces a summary for objects. This calculates empirical percentiles for the (parametric) bootstrap distributions of parameters, and correlations of parameter replicates if applicable. The print method displays the same results as , plus these quantities.

USAGE:

summary.parametricBootstrap(object, probs=c(25, 50, 950, 975)/1000) 

REQUIRED ARGUMENTS:

object
object of class .

OPTIONAL ARGUMENTS:

probs
probability levels at which to calculate percentiles.

VALUE:

a list containing selected components of object ( call, B, observed, estimate), plus percentiles limits.emp and (if observed has more than one element) the correlation matrix correlation for the replicates.

DETAILS:

The print method prints the results in a nicely formatted manner.

SEE ALSO:

, , , , .

EXAMPLES:

temp <- parametricBootstrap(iris[,1,1], mean, rsampler = rnorm, 
           args.rsampler = list(mean = mean(iris[,1,1]), 
           sd = sqrt(var(iris[,1,1])))) 
summary(temp)