boot {eba} | R Documentation |
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 |
Details
The bootstrap function eba.boot
is called automatically by
boot
.
Value
p |
the matrix of bootstrap vectors |
stat |
the matrix of bootstrap statistics, including parameter
means, standard errors, and confidence limits |
See Also
OptiPt
.
Examples
data(pork) # pork tasting data, 10 individual paired comparison matrices
eba <- OptiPt(apply(pork, 1:2, sum)) # fit a BTL model
b <- boot(pork, 200) # resample 200 times
plot(eba$estimate, b$stat[,'mean'], log='xy')
abline(0, 1, lty=2)
[Package
eba version 1.4-0
Index]