depictr.model_report#

depictr.model_report(model, title=None)#

One-figure dashboard pairing the coefficient plot with key diagnostics.

Puts the three plots a reader usually wants first side by side: the coefficient (forest) plot of the estimates and their confidence intervals, the residuals-vs-fitted plot, and the normal quantile-quantile plot. It is a quick “is the model worth trusting, and what does it say” view, with the full set of checks left to residual_diagnostics_plot().

Parameters:

  • model (statsmodels results object) – A fitted OLS/GLM result exposing params and conf_int (for the coefficient plot) as well as fitted values and residuals.

  • title (str, optional) – An overall title for the composed figure.

Returns:

A composition with .draw and .save.

Return type:

plotnine.composition.Compose