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bootstrap bootstrapping to determine parameter relevance.
DESCRIPTION
Performs a bootstrap test on a dataset given a particular
multivariate analysis. The stored results are the outputs of the
model function.
EXAMPLE
m = dml.bootstrap('mva',{dml.standardizer dml.naive},'nboot',100)
m = m.train(X,Y);
DEVELOPER
Marcel van Gerven (m.vangerven@donders.ru.nl)
Sealed | false |
Construct on load | false |
bootstrap | parse options |
mva | multivariate analysis |
nboot | number of permutations |
outcome | bootstrap results |
verbose | whether or not to generate diagnostic output |
statistic | return mean and standard error of the mean for all parameters in | |
train |