Spacing Tests for Multi-Modality
Description
Tests for modality of data using its spacing. The main approach
evaluates features (peaks, flats) using a combination of parametric models
and non-parametric tests, either after smoothing the spacing by a low-pass
filter or by looking over larger intervals. The library can also use any
changepoint detectors available to look for transitions between features
in the spacing. The Suggested list of libraries is misnamed. It contains
all supported changepoint detectors, and all are considered optional. A
good minimal set would be the first three entries. Some of the suggestions
may no longer be current on CRAN, with the last source tarball found in
its archives or at the additional repository. These packages will be used
if they are already installed on older installations, but will not be
available to newer.