Reghelper: Helper Functions for Regression Analysis

A set of functions used to automate commonly used methods in regression analysis. The package includes plotting interactions, and calculating simple slopes, standardized coefficients, and regions of significance. It was created by Jeffrey Hughes.

Use Cases

• Plotting interaction effects based on the described plotting functions.
• Calculating simple slopes for regression models based on the described functionality.
• Determining regions of significance for interactions based on the cited Johnson-Neyman method.
• Calculating standardized regression coefficients based on the described helper functions.

Strengths

• Implements established statistical methods, including the Johnson-Neyman technique for regions of significance.
• Functions are designed to automate common, repetitive tasks in regression analysis.

Limitations

• Description metadata is limited; actual data quality requires manual inspection after download.
• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.

Provenance

Source

Jeffrey Hughes

Collection Method

Software package for statistical analysis.