Man pages for microsoft/CausalGrid
Analysis of Subgroups
| add_partition_split | Adds partition_split to grid_partition |
| CausalGrid | CausalGrid: A package for subgroup effects |
| change_complexity | Change the complexity of a fit_estimate_partition |
| const_vect | Determine if vector is constant (or zero length) |
| est_cell_stats | Estimate parameters across the cells |
| est_full_stats | Estimate stats on the full samples |
| estimated_partition | Minimum estimated_partition class |
| EstimatorPlan | Estimator Plan |
| est_params | Estimate parameters |
| eval_mse_hat | Evaluate the MSE_hat objective function |
| fit_estimate_partition | Fit Grid Partition and estimate cell stats |
| fit_on_train | Fit estimator_plan on training sample |
| fit_partition | Fit grid_partition |
| get_desc_df | Get descriptive data.frame |
| get_desc_df.estimated_partition | Get descriptive data.frame |
| get_desc_df.grid_partition | Get descriptive data.frame |
| get_quantile_breaks | Get break-points by looking at quantiles |
| get_X_range | Get X_range |
| grid_partition | Create a null 'grid_partition' |
| GridPartition | Grid Partition |
| grid_rf | Create a grid_rf object |
| lm_est | create an lm_est object |
| num_cells | Return number of cells for the object |
| partition_split | Create partition_split |
| plot.estimated_partition | Create 2D plots of parameter estimates |
| predict.estimated_partition | Generate predicted estimates per observations |
| predict.grid_partition | Get factor describing cell number fo each observation |
| print.estimated_partition | Print estimated_partition |
| print.grid_partition | Print grid_partition |
| print.partition_split | Print partition_split |
| residualize | Residualize sample |
| simple_est | Create a simple_est object |
| test_any_sign_effect | Test for any sign effect |
