Man pages for ck37/varimpact
Variable Importance Estimation Using Targeted Causal Inference (TMLE)
| create_cv_folds | Stratified CV to insure balance (by one grouping variable, Y) |
| estimate_tmle | Get TMLE estimate: E[Y | A = 1, W]. |
| estimate_tmle2 | Get TMLE estimate: E[Y | A = 1, W]. |
| exportLatex | Export varimpact results as Latex tables |
| factors_to_indicators | Convert a dataframe of factor into separate indicators. |
| max_sqr | Find the maximum of the squared values. |
| plot_var | Plot the varimpact results for a given variable |
| print.varImpact | Custom printing of the varimpact results. |
| quantiles_equivalent | Checks if two quantiles have the same sample value for a... |
| reduce_dimensions | Reduce variables in a dataframe to a target number of... |
| restrict_by_quantiles | Remove columns from a dataframe if they do not have... |
| results_by_level | Aggregate the results_by_fold_and_level df into a... |
| separate_factors_numerics | Split df into one of only factors and one of only numerics. |
| sum_na | Get missingness for each column |
| tmle_estimate_q | purpose: estimate Q=E(Y |Z, A,W) data-adaptively, |
| varImpact | Variable importance estimation using causal inference... |
