Man pages for leoguelman/uplift2
Uplift Modeling
| create_data_partition | Data splitting functions for uplift. |
| create_uplift_formula | Create an uplift formula. |
| ggplot.inspect_balance | Plot a 'inspect_balance' object. |
| ggplot.inspect_performance | Qini and Calibration plots from a 'inspect_performance'... |
| ggplot.niv | Net weight of evidence plots from a 'niv' object. |
| ggplot.score_profile | Plot a 'score_profile' object. |
| inspect_balance | Inspect balance of covariates. |
| inspect_performance | Inspect performance from a fitted uplift model. |
| mom | Modified outcome method for uplift modeling. |
| niv | Net Information Value. |
| plot.utree | Visualization of uplift trees. |
| predict.uforest | Predict method for uforest fits. |
| predict.uplift_glm | Predict method for uplift_glm fits. |
| predict.utree | Predict method for utree fits. |
| score_profile | Profile deciles from a fitted model. |
| sim_uplift | Uplift simulations. |
| trt | Mark treatment term. |
| uforest | Fitting uplift random forest. |
| uforest_control | Control for uplift random forest. |
| uplift_glm | Fitting Uplift Generalized Linear Models. |
| utree | Fitting uplift trees. |
| utree_control | Control for uplift trees. |
| var_importance | Variable importance for uplift trees and uplift random... |
