Man pages for saberpowers/causalLearning
Methods for heterogeneous treatment effect estimation
| bagged.causalMARS | Fit a bag of causal MARS models |
| causalBoosting | Fit a causal boosting model |
| causalMARS | Fit a causal MARS model |
| cv.causalBoosting | Fit a causal boosting model with cross validation |
| pollinated.ranger | Pollinate a fitted ranger random forest model |
| predict.bagged.causalMARS | Make predictions from a bag of fitted causal MARS models |
| predict.causalBoosting | Make predictions from a fitted causal boosting model |
| predict.causalMARS | Make predictions from a fitted causal MARS model |
| predict.causalTree | Make predictions from a fitted causal tree model |
| predict.cv.causalBoosting | Make predictions from a fitted cross-validated causal... |
| predict.pollinated.ranger | Make predictions from a pollinated ranger random forest model |
| predict.PTOforest | Make predictions from a fitted PTO forest model |
| PTOforest | Fit a pollinated transformed outcome (PTO) forest model |
| stratify | Get propensity strata from propensity scores |
