Man pages for ensley-nexant/cfeval
Causal Forest Evaluation and Visualization
| ate | Estimate average treatment effects using a causal forest |
| cf_eval | Create a causal forest evaluation object |
| cfeval-package | cfeval: Causal Forest Evaluation and Visualization |
| cfex | An example dataset to use in causal forests |
| confint.ate | Confidence intervals for causal forest ATEs |
| estimate_subgroup_ate | Find difference in ATE between subgroups |
| make_contrasts | One-hot encode categorical covariates |
| pipe | Pipe operator |
| plot.ate | Plot a causal forest ATE |
| plot_bias | Plot a histogram of estimated bias |
| plot_calibration_test | Plot calibration test results |
| plot_cate | Plot a histogram of estimated CATEs |
| plot.cf_eval | Visualize a causal forest evaluation object |
| plot_covariate_balance | Check covariate balance |
| plot_predictions_vs_covariate | Plot estimated CATEs versus a covariate |
| plot_propensities | Plot a histogram of fitted propensities |
| plot.results | Visualize a causal forest results object |
| plot_subgroup_ates | Plot ATE differences by one or more subgroups |
| plot.tuning_output | Plot causal forest tuning results |
| plot.varimp | Plot variable importance of a causal forest |
| results | Create a causal forest results object |
| tidy_cf | Gather causal forest outputs into a data frame |
| tidyeval | Tidy eval helpers |
| varimp | Create a causal forest variable importance object |
