Hartigan's dip test statistic for unimodality and multimodality, with corrected public code. The package provides simulation-based p-values for statistical testing. It was authored by Martin Maechler and imports graphics and stats libraries.
Use Cases
- Test for unimodality in a distribution based on the Hartigan's dip statistic.
- Perform multimodality detection using simulation-based p-values.
- Validate statistical model assumptions regarding the number of modes in data.
Strengths
- Implements a corrected version of a known statistical test algorithm.
- Provides simulation-based p-values for the test statistic.
Limitations
- Description metadata is limited; actual data quality requires manual inspection after download.
- Row count is unknown, which may limit suitability assessment.
- Column-level documentation is absent; field semantics must be inferred after download.
Provenance
- Source
- Martin Maechler