Distributional covariate effects

Quantile Playground

Compare two distributions directly. Fix parameters that should stay aligned, then move the others to see how quantiles and threshold risk respond.

Connecting
v0.5 R-backed

The average is not the whole story.

Compare a baseline distribution with the current covariate setting, then inspect quantiles and exceedance probabilities directly.

Interpretation

Move baseline and comparison parameters side by side. Fix keeps comparison tied to baseline.

Caveat

Values are computed by the shared R backend with gamlss.dist; this is still an explainer, not fitted model output.

Location

Same spread, moving center

baseline comparison quantiles

Density Lens

Quantile Comparison

Baseline exceedance 0%
Comparison exceedance 0%
Median movement 0
Comparison parameters -
GAMLSS-style formula -