Man pages for kdoub5ha/mvITR
Discovery of risk controlled individualized treatment rules (ITRs)
| Build.RF.ITR | Builds an rcRF model for risk controlled optimization |
| de | Finds all decendants of a particular node in a tree. |
| generateData | Generates example data |
| grow.ITR | Grows rcDT model |
| itrtest | Value function used for treatment assignment value... |
| mvITR-package | Discovery of risk controlled individualized treatment rules... |
| power.set | Categorical predictor subsetting in the tree growing... |
| predict.ITR | Treatment Prediction for rcDT and rcRF Models |
| prune | Prunes an rcDT model |
| rcpparma_hello_world | Set of functions in example RcppArmadillo package |
| rcpp_hello_world | Simple function using Rcpp |
| risk.partition.ITR | Generates partition summary based on itr value. |
| send.down | Sends testing data down a tree to obtain terminal node... |
| send.down.VI.ITR | Sends testing data and permuted testing data down a bootstrap... |
| send.down.VI.ITR.Efficacy | Sends testing data and permuted testing data down a bootstrap... |
| send.down.VI.ITR.Risk | Sends testing data and permuted testing data down a bootstrap... |
| s.itrtest | Estimates value for survival data (currently experimental) |
| treeCV | Cross Validation for Optimal rcDT Model Selection for Given... |
| Variable.Importance.ITR | Calcuates variable importance measures for a random forest... |
