boot.Rd
Performs a bootstrap by resampling the individual data matrices.
boot(D, R = 100, A = 1:I, s = rep(1/J, J), constrained = TRUE)
D | either a 3d array consisting of the individual paired
comparison matrices or an object of class |
---|---|
R | the number of bootstrap samples |
A | a list of vectors consisting of the stimulus aspects;
the default is |
s | the starting vector with default |
constrained | logical, if TRUE (default), parameters are constrained to be positive |
The bootstrap functions eba.boot.constrained
and eba.boot
are automatically called by boot
.
The code is experimental and may change in the future.
the matrix of bootstrap vectors
the matrix of bootstrap statistics, including parameter means, standard errors, and confidence limits
eba
, simulate.eba
, paircomp
.