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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.

Version: 1.0.3
Depends: statmod
Published: 2026-02-18
DOI: 10.32614/CRAN.package.Dimodal
Author: Greg Kreider [aut, cre], Melissa O'Neill [cph], Primordial Machine Vision Systems, Inc. [cph]
Maintainer: Greg Kreider <support at primachvis.com>
License: BSD_3_clause + file LICENSE
Copyright: Primordial Machine Vision Systems, Inc.
NeedsCompilation: yes
Materials: README, ChangeLog
CRAN checks: Dimodal results

Documentation:

Reference manual: Dimodal.html , Dimodal.pdf

Downloads:

Package source: Dimodal_1.0.3.tar.gz
Windows binaries: r-devel: Dimodal_1.0.3.zip, r-release: Dimodal_1.0.3.zip, r-oldrel: Dimodal_1.0.3.zip
macOS binaries: r-release (arm64): Dimodal_1.0.3.tgz, r-oldrel (arm64): Dimodal_1.0.3.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: Dimodal archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.