Package index
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adstock_geometric() - Geometric adstock
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adstock_weibull() - Weibull adstock
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adstock_weights_delayed()adstock_delayed() - Delayed adstock
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adstock_filter() - Adstock with an arbitrary kernel
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adstock_weights() - Geometric adstock weights
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adstock_weights_weibull() - Weibull adstock weights
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adstock_state() - Terminal adstock state
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adstock_steady_state() - Steady-state starting value for an adstock filter
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decay_from_half_life()half_life()effective_window() - Carryover decay vocabulary
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saturate_hill()saturate_exponential()saturate_michaelis_menten()saturate_power()saturate() - Saturation curves
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media_transform() - Adstock then saturate, in that order
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tune_carryover() - Select carryover parameters by cross-validation against a KPI
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tune_carryover_joint() - Tune every channel's carryover jointly, inside one model
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fit_ols()predict(<mm_ols>)print(<mm_ols>) - Default linear fitter for carryover tuning
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rmse()mae() - Minimal error metrics
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diagnose_media() - Diagnose media data before modelling
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contributions() - Decompose predicted KPI into channel contributions
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roi()mroi() - Return on investment and marginal return
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marginal_roi() - Average and marginal return by counterfactual simulation
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response_curve()spend_for() - Response curve for a channel
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block_bootstrap() - Moving block bootstrap for time-series statistics
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plot(<mm_carryover>)plot(<mm_carryover_joint>) - Plot a carryover cross-validation profile
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plot(<mm_bootstrap>) - Plot bootstrap intervals
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plot(<mm_contributions>) - Plot a contribution decomposition
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plot(<mm_response_curve>) - Plot a response curve
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plot(<mm_attribution>) - Plot attribution shares across rules
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mm_palette() - The package's chart palette
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step_adstock() - Adstock transformation as a recipe step
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step_saturation() - Saturation transformation as a recipe step
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carryover_decay()carryover_max_lag()saturation_half_max()saturation_shape() - Tuning parameters for media transforms
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build_paths() - Build customer journeys from a raw event log
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`[`(<mm_paths>) - Subset a journey table
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as_channel_paths() - Export journeys in ChannelAttribution's format
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credit_linear()credit_first()credit_last()credit_position()credit_time_decay()credit_custom() - Assign conversion credit across a journey
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markov_removal() - Markov-chain removal effects
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attribute() - Attribute conversions to channels under several rules at once
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attribution_spread() - How much does the answer depend on the rule?
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path_summary() - Journey table summary
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path_lengths() - Journey length distribution
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channel_positions() - Where each channel sits in the journey
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assisted_conversions() - Assisted conversion matrix
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top_paths() - Most common journeys
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conversion_lag() - Conversion lag distribution
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path_diagnostics() - Run every journey diagnostic at once
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mediamixmediamix-package - mediamix: media transforms and attribution path construction