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add_partition_split()
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Adds partition_split to grid_partition |
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CausalGrid
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CausalGrid: A package for subgroup effects |
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change_complexity()
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Change the complexity of a fit_estimate_partition |
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estimated_partition()
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Minimum estimated_partition class |
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EstimatorPlan
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Estimator Plan |
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est_cell_stats()
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Estimate parameters across the cells |
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est_full_stats()
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Estimate stats on the full samples |
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est_params()
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Estimate parameters |
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fit_estimate_partition() is_estimated_partition()
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Fit Grid Partition and estimate cell stats |
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fit_on_train()
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Fit estimator_plan on training sample |
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fit_partition()
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Fit grid_partition |
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get_desc_df(<estimated_partition>)
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Get descriptive data.frame |
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get_desc_df(<grid_partition>)
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Get descriptive data.frame |
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get_desc_df()
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Get descriptive data.frame |
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get_quantile_breaks()
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Get break-points by looking at quantiles |
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get_X_range()
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Get X_range |
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GridPartition
|
Grid Partition |
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grid_partition() is_grid_partition()
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Create a null grid_partition |
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grid_rf() is_grid_rf()
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Create a grid_rf object |
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lm_est() is_lm_est()
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create an lm_est object |
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num_cells()
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Return number of cells for the object |
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partition_split() is_partition_split()
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Create partition_split |
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plot(<estimated_partition>)
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Create 2D plots of parameter estimates |
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predict(<estimated_partition>)
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Generate predicted estimates per observations |
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predict(<grid_partition>)
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Get factor describing cell number fo each observation |
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print(<estimated_partition>)
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Print estimated_partition |
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print(<grid_partition>)
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Print grid_partition |
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print(<partition_split>)
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Print partition_split |
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residualize()
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Residualize sample |
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simple_est() is_simple_est()
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Create a simple_est object |
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test_any_sign_effect()
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Test for any sign effect |