View source: R/minimalIntervals.r
minimalIntervals | R Documentation |
In general, all intervals that have a test statistic bigger than the respective critical value
are output. For a given set of intervals \mathcal{K}
, all intervals J
such that \mathcal{K}
does not contain a proper subset of J
are called minimal. Given \mathcal{K}
, this function
computes the set of minimal intervals.
minimalIntervals(ints)
ints |
Either one of the sets |
Returns the set of minimal elements \bf{D}^\pm
, corresponding to the set of input intervals
\mathcal{D}^\pm
.
Depending on the value of min.int
, this function is called by modeHunting
,
modeHuntingApprox
, and modeHuntingBlock
.
Kaspar Rufibach, kaspar.rufibach@gmail.com,
http://www.kasparrufibach.ch
Guenther Walther, gwalther@stanford.edu,
https://gwalther.su.domains/
Minimal intervals were first introduced (although for a different multiscale procedure) on p. 517 in
Lutz Dümbgen (2002). Application of Local Rank Tests to Nonparametric Regression. Journal of Nonparametric Statistics, 14, 511–537.
Rufibach, K. and Walther, G. (2010). A general criterion for multiscale inference. J. Comput. Graph. Statist., 19, 175–190.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.