gam_cor_to_vif: GAM describing the relationship between correlation and VIF...

In collinear: Automated Multicollinearity Management

GAM describing the relationship between correlation and VIF thresholds

Description

A fitted generalized additive model describing max_vif as a function of max_cor in experiment_cor_vs_vif.

Usage

data(gam_cor_to_vif)

Format

A gam object.

Details

The model parameters (basis dimension k and weight exponent) were selected via optimization, filtering for models in the top 90\

The final model uses squared Jaccard similarity as weights to emphasize cases with high agreement between cor_select() and vif_select().

Model performance:

• Adjusted R-squared: 0.834

• Deviance explained: 83.4\

• Effective degrees of freedom for smooth: ~6

Source

Generated internally from experiment_cor_vs_vif.

See Also

Other experiments: experiment_adaptive_thresholds, experiment_cor_vs_vif, prediction_cor_to_vif

Examples

data(gam_cor_to_vif)
plot(gam_cor_to_vif, shade = TRUE)

collinear documentation built on Dec. 8, 2025, 5:06 p.m.