boot: Bootstrap for Elimination-by-Aspects (EBA) Models

In eba: 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), constrained = TRUE)

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
constrained	logical, if TRUE (default), parameters are constrained to be positive

Details

The bootstrap functions eba.boot.constrained and eba.boot are called automatically by boot.

The code is experimental and may change in the future.

Value

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

See Also

eba, simulate.eba.

Examples

data(pork)  # pork tasting data, 10 individual paired comparison matrices
btl1 <- eba(apply(pork, 1:2, sum))  # fit Bradley-Terry-Luce model
b <- boot(pork, 200)                # resample 200 times

plot(btl1$estimate, b$stat[, "mean"], log="xy")
abline(0, 1, lty=2)

eba documentation built on Sept. 25, 2018, 5:03 p.m.