DLNM Plotting

What problem does it solve?

This Skill helps statisticians and researchers create clear, publication-quality visualizations of Distributed Lag Non-Linear Models (DLNM) results, making complex exposure-lag-response relationships understandable.

Core Features & Use Cases

• 3D Surface Plots: Visualize the simultaneous effect of exposure and lag.
• Contour Plots: Show isolines of relative risk across exposure and lag.
• Slice Plots: Display specific exposure-response or lag-response curves.
• Custom ggplot2 Plots: Extract data for fine-grained control over plot aesthetics for publications.
• Use Case: After fitting a DLNM model to air pollution and temperature data, use this Skill to generate a 3D surface plot to show how both temperature and the lag period influence the relative risk of a health outcome.

Quick Start

Use the DLNM plotting skill to generate a 3D surface plot of the crosspred object named 'pred'.