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Lrnr_prob_known
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Predict with Probability Known A Priori |
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cost_threshold() cost_budget() cost_knapsack()
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Cost Functions for Assignment of a Dynamic Treatment Rule |
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data_example
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Natural experiment on the effect of a binary treatment on viewing metrics |
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data_example_with_cost
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Natural experiment on the effect of a binary treatment on viewing metrics,
where treating units has a cost |
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mycroft_assess()
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Mycroft Assesses the Population-level Causal Effects of the Segmentation |
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plot(<sherlock>)
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Plot Method for Sherlock Summary Output |
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print(<sherlock>)
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Print Method for Sherlock Summary Output |
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print(<sherlock_effects>)
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Print Method for Effects Summary Output |
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sherlock_calculate()
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Sherlock Consults By Inspecting the Data and Evaluating Conditional Effects |
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watson_segment()
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Watson Advises Sherlock By Detecting Segments and Assigning Treatment Rules |