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

Description Usage Arguments Details Value See Also Examples

Performs a bootstrap by resampling the individual data matrices.

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

`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

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

The code is experimental and may change in the future.

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

eba, simulate.eba.

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)