Correlation: Methods for Correlation Analysis from the Easystats Ecosystem

correlation is a lightweight R package for computing various correlation measures, developed by Dominique Makowski. It is part of the 'easystats' ecosystem and includes methods for partial, Bayesian, multilevel, polychoric, biweight, and distance correlations. The package is referenced in a 2020 paper published in the Journal of Open Source Software.

Use Cases

• Calculate partial correlations to control for confounding variables.
• Perform Bayesian correlation analysis to incorporate prior knowledge.
• Compute multilevel correlations for hierarchical or nested data structures.
• Analyze ordinal data using polychoric correlations.
• Measure nonlinear associations using distance correlation.

Strengths

• Part of the established 'easystats' ecosystem for R.
• Implements multiple specialized correlation methods in one package.
• Has a peer-reviewed publication reference from 2020.

Limitations

• Row count and dataset scale are unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Last update date is unknown; freshness unverified.

Provenance

Source

Dominique Makowski

Collection Method

Likely developed as a software package for statistical analysis.

Time Range

Referenced publication is from 2020.

Freshness

Last update date is unknown.

Geography

Spatial coverage is unknown.