eba (version 1.4-2)

boot: Bootstrap for Elimination-By-Aspects Models

Description

Performs a bootstrap by resampling the individual data matrices.

Usage

boot(D, R = 100, A = 1:I, s = rep(1/J, J))

Arguments

D

a 3d array consisting of the individual paired comparison matrices

R

the number of bootstrap samples

A

a list of vectors consisting of the stimulus aspects; the default is 1:I, where I is the number of stimuli

s

the starting vector with default 1/J for all parameters, where J is the number of parameters

Value

• p
  the matrix of bootstrap vectors
• stat
  the matrix of bootstrap statistics, including parameter means, standard errors, and confidence limits

Details

The bootstrap function eba.boot is called automatically by boot.

See Also

eba.

Examples

data(pork)  # pork tasting data, 10 individual paired comparison matrices
btl <- eba(apply(pork, 1:2, sum))  # fit a BTL model
b <- boot(pork, 200)  # resample 200 times

plot(btl$estimate, b$stat[,'mean'], log='xy')
abline(0, 1, lty=2)