boot {eba} R Documentation

## Bootstrap for Elimination-by-Aspects (EBA) 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 either a 3d array consisting of the individual paired comparison matrices or an object of class paircomp 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 automatically called 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

eba, simulate.eba, paircomp.

### 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, R = 200)            # resample 200 times

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


[Package eba version 1.10-0 Index]