Dimodal
Spacing Tests for Multi-Modality
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.
- Version1.0.0
- R versionunknown
- LicenseBSD_3_clause
- LicenseLICENSE
- Needs compilation?Yes
- Last releaselast Thursday at 12:00 AM
Documentation
Team
Greg Kreider
MaintainerShow author detailsPrimordial Machine Vision Systems, Inc.
Show author detailsRolesCopyright holderMelissa O'Neill
Show author detailsRolesCopyright holder
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