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Dpit

Distribution Pitting

Compares distributions with one another in terms of their fit to each sample in a dataset that contains multiple samples, as described in Joo, Aguinis, and Bradley (in press). Users can examine the fit of seven distributions per sample: pure power law, lognormal, exponential, power law with an exponential cutoff, normal, Poisson, and Weibull. Automation features allow the user to compare all distributions for all samples with a single command line, which creates a separate row containing results for each sample until the entire dataset has been analyzed.

Versions across snapshots

VersionRepositoryFileSize
1.0 rolling linux/jammy R-4.5 Dpit_1.0.tar.gz 224.4 KiB
1.0 rolling linux/noble R-4.5 Dpit_1.0.tar.gz 224.3 KiB
1.0 rolling source/ R- Dpit_1.0.tar.gz 48.4 KiB
1.0 latest linux/jammy R-4.5 Dpit_1.0.tar.gz 224.4 KiB
1.0 latest linux/noble R-4.5 Dpit_1.0.tar.gz 224.3 KiB
1.0 latest source/ R- Dpit_1.0.tar.gz 48.4 KiB
1.0 2026-04-26 source/ R- Dpit_1.0.tar.gz 48.4 KiB
1.0 2026-04-23 source/ R- Dpit_1.0.tar.gz 48.4 KiB
1.0 2026-04-09 windows/windows R-4.5 Dpit_1.0.zip 226.6 KiB
1.0 2025-04-20 source/ R- Dpit_1.0.tar.gz 48.4 KiB

Dependencies (latest)

Imports