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.
Distributional covariate effects
Compare two distributions directly. Fix parameters that should stay aligned, then move the others to see how quantiles and threshold risk respond.
Compare a baseline distribution with the current covariate setting, then inspect quantiles and exceedance probabilities directly.
Move baseline and comparison parameters side by side. Fix keeps comparison tied to baseline.
Values are computed by the shared R backend with gamlss.dist; this is still an explainer,
not fitted model output.
Location