Spline Functions

What problem does it solve?

This Skill helps users understand and implement various spline basis functions in R, crucial for modeling non-linear relationships in statistical and epidemiological analyses.

Core Features & Use Cases

• Spline Types: Explains natural cubic splines (ns), B-splines (bs), P-splines (ps), and cubic regression splines (cr).
• Key Concepts: Covers degrees of freedom (df) and knot placement strategies (equal spacing, percentiles, log-scale).
• Use Case: When building a DLNM model, use this Skill to correctly define the argvar and arglag arguments with appropriate spline functions and knot configurations for accurate exposure-lag-response modeling.

Quick Start

Use the Spline Functions skill to create a natural cubic spline with 4 degrees of freedom for a variable named 'exposure'.