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Dimodal (version 1.0.3)

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.

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Version

Install

install.packages('Dimodal')

Version

1.0.3

License

BSD_3_clause + file LICENSE

Maintainer

Greg Kreider

Last Published

February 18th, 2026

Functions in Dimodal (1.0.3)

Dimodal Model Tests

Significance models of features in the low-pass spacing.
Dimodal Runs Tests

Tests of runs within subsets of data
kirkwood

Asteroid Orbital Axis Showing Kirkwood Gaps
find.peaks

Local minima and maxima detector.
Dimodal Utility Functions

Dimodal Utility Functions
find.level.sections

Detector for intervals without significant slope
find.runs

Fuzzy run detector
Ditrack

Class methods for Ditrack Objects
Diflat

Class methods for Diflat Objects
Ditest

Class Methods for Ditest Objects
Dimodal Excursion and Permutation Tests

Feature significance test using permutation or bootstrap (excursion) sampling.
Didata

Class methods for Didata Objects
Dipeak

Class methods for Dipeak Objects
Diopt

Options for Dimodal package
find.flats

Local flat detector.
Dimodal

Detect modality in the spacing of data.
Dimodal-package

Detection of Multi-Modal Data Using Spacing