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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.

Versions across snapshots

VersionRepositoryFileSize
1.0.3 rolling linux/jammy R-4.5 Dimodal_1.0.3.tar.gz 398.9 KiB
1.0.3 rolling linux/noble R-4.5 Dimodal_1.0.3.tar.gz 398.8 KiB
1.0.3 rolling source/ R- Dimodal_1.0.3.tar.gz 201.2 KiB
1.0.3 latest linux/jammy R-4.5 Dimodal_1.0.3.tar.gz 398.9 KiB
1.0.3 latest linux/noble R-4.5 Dimodal_1.0.3.tar.gz 398.8 KiB
1.0.3 latest source/ R- Dimodal_1.0.3.tar.gz 201.2 KiB
1.0.3 2026-04-26 source/ R- Dimodal_1.0.3.tar.gz 201.2 KiB
1.0.3 2026-04-23 source/ R- Dimodal_1.0.3.tar.gz 201.2 KiB
1.0.3 2026-04-09 windows/windows R-4.5 Dimodal_1.0.3.zip 404.2 KiB

Dependencies (latest)

Depends