MMMPlotSuite#

class pymc_marketing.mmm.plot.MMMPlotSuite(idata)[source]#

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_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.