MMMPlotSuite

class pymc_marketing.mmm.plot.MMMPlotSuite(idata)

Media Mix Model Plot Suite.

Provides methods for visualizing the posterior predictive distribution, contributions over time, and saturation curves for a Media Mix Model.

Methods

MMMPlotSuite.__init__(idata)
MMMPlotSuite.allocated_contribution_by_channel_over_time(samples)	Plot the allocated contribution by channel with uncertainty intervals.
MMMPlotSuite.budget_allocation(samples[, ...])	Plot the budget allocation and channel contributions.
MMMPlotSuite.contributions_over_time(var[, ...])	Plot the time-series contributions for each variable in var.
MMMPlotSuite.plot_crps(results[, dims])	Plot CRPS for train and test sets across all CV splits, optionally stratified by dims.
MMMPlotSuite.plot_cv_predictions(results[, dims])	Plot posterior predictive predictions across CV folds.
MMMPlotSuite.plot_param_stability(results, ...)	Plot parameter stability across CV iterations.
MMMPlotSuite.plot_sensitivity_analysis([...])	Plot counterfactual uplift or marginal effects curves.
MMMPlotSuite.posterior_predictive([var, ...])	Plot time series from the posterior predictive distribution.
MMMPlotSuite.saturation_curves(curve[, ...])	Overlay saturation‑curve scatter‑plots with posterior‑predictive sample curves and HDI bands.
MMMPlotSuite.saturation_curves_scatter([...])	Plot scatter plots of channel contributions vs.
MMMPlotSuite.saturation_scatterplot([...])	Plot the saturation curves for each channel.