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Dimodal  

Spacing Tests for Multi-Modality
View on CRAN: Click here


Download and install Dimodal package within the R console
Install from CRAN:
install.packages("Dimodal")

Install from Github:
library("remotes")
install_github("cran/Dimodal")

Install by package version:
library("remotes")
install_version("Dimodal", "1.0.4")



Attach the package and use:
library("Dimodal")
Maintained by
Greg Kreider
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-01-15
Latest Update: 2026-01-15
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.
How to cite:
Greg Kreider (2026). Dimodal: Spacing Tests for Multi-Modality. R package version 1.0.4, https://cran.r-project.org/web/packages/Dimodal. Accessed 30 Oct. 2026.
Previous versions and publish date:
1.0.0 (2025-12-18 15:00), 1.0.3 (2026-02-18 09:20), (2026-07-09 08:02)
Other packages that cited Dimodal R package
View Dimodal citation profile
Other R packages that Dimodal depends, imports, suggests or enhances
Complete documentation for Dimodal
Functions, R codes and Examples using the Dimodal R package
Full Dimodal package functions and examples
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