Man pages for highMLR
Machine Learning Feature Selection for High Dimensional Survival Data
| coef.highmlr_fit | Coefficients from a highmlr_fit |
| highmlr | Machine learning feature selection for high dimensional... |
| highmlr_causal | Causal survival forest for heterogeneous treatment effects... |
| highmlr_compare | Compare multiple highMLR methods on the same data |
| highmlr_conformal | Conformal prediction intervals for survival times |
| highmlr_explain | Time-dependent SHAP explanations for a highmlr_fit... |
| highMLR-package | highMLR: Machine Learning Feature Selection for High... |
| highmlr_report | Generate a Quarto/Rmd report skeleton for a highmlr_fit |
| highmlr_screen | Pre-screen features when p is very large |
| highmlr_stability | Post-hoc stability analysis of a fitted highmlr_fit |
| hnscc | High dimensional head and neck cancer survival and gene... |
| new_highmlr_fit | Constructor for highmlr_fit objects |
| plot.highmlr_conformal | Plot method for highmlr_conformal objects |
| plot.highmlr_fit | Forest / importance plot for a highmlr_fit |
| predict.highmlr_fit | Predict from a highmlr_fit |
| print.highmlr_conformal | Print method for highmlr_conformal objects |
| print.highmlr_fit | Print method for highmlr_fit |
| srdata | High dimensional protein gene expression survival data |
| summary.highmlr_fit | Summary method for highmlr_fit |
