Machine Learning Feature Selection for High Dimensional Survival Data

Documentation for package ‘highMLR’ version 1.0.1

coef.highmlr_fit	Coefficients from a highmlr_fit
highmlr	Machine learning feature selection for high dimensional survival data
highmlr_causal	Causal survival forest for heterogeneous treatment effects (experimental)
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 (SurvSHAP(t))
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 expression data
plot.highmlr_causal	Causal survival forest for heterogeneous treatment effects (experimental)
plot.highmlr_conformal	Plot method for highmlr_conformal objects
plot.highmlr_explain	Time-dependent SHAP explanations for a highmlr_fit (SurvSHAP(t))
plot.highmlr_fit	Forest / importance plot for a highmlr_fit
predict.highmlr_fit	Predict from a highmlr_fit
print.highmlr_causal	Causal survival forest for heterogeneous treatment effects (experimental)
print.highmlr_conformal	Print method for highmlr_conformal objects
print.highmlr_explain	Time-dependent SHAP explanations for a highmlr_fit (SurvSHAP(t))
print.highmlr_fit	Print method for highmlr_fit
srdata	High dimensional protein gene expression survival data
summary.highmlr_fit	Summary method for highmlr_fit