Man pages for harrysouthworth/mhdm
Medical History Data Mining
| bestCViter | Get the best interation in terms of CV error (log-likelihood) |
| big.model.matrix | Create a model frame when there are many predictors. |
| fitted.xgbm | Fitted values from an xgbm object |
| getSynonyms | Get similar strings in a vector of strings |
| ggplot.xgbm | Partial dependence plots for xgbm |
| mhdm-package | Gradient Boosting wrappers for xgboost |
| predict.xgbm | Get predictions from an xgbm object |
| relative.influence | Relative influence of predictors in an xgbm model |
| rrci | Compute relative risk with approximate confidence intervals |
| stringsAsFactors | Deal with fallout from R 4.0 putting stringsAsFactors = FALSE |
| wideData | Extract a wide form of the adverse event, medical history,... |
| xgbm | Wrapper to xgb.cv and xgb.train |
| xgbm.perf | Plot the training and testing set error over iterations |
