Spacing Tests for Multi-Modality
Class methods for Dicpt Objects
Class methods for Didata Objects
Class methods for Diflat Objects
Detection of Multi-Modal Data Using Spacing
Detect modality in the spacing of data.
Options for Dimodal package
Class methods for Dipeak Objects
Class Methods for Ditest Objects
Class methods for Ditrack Objects
Feature significance test using permutation or bootstrap (excursion) s...
Common changepoint detector.
Local flat detector.
Detector for intervals without significant slope
Local minima and maxima detector.
Fuzzy run detector
Significance models of features in the low-pass spacing.
Tests of runs within subsets of data
Dimodal Utility Functions
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.