Man pages for SydneyBioX/SurvBenchmark_package
survival approaches benchmarking
| bw_cox1_fun | coxph model with backward elimination using AIC |
| bw_cox2_fun | coxph model with backward elimination using p value with... |
| bw_cox3_fun | coxph model with backward elimination using BIC |
| cancerdt2_1 | Example omics data for this package |
| cox_boost_fun | CoxBoost model |
| cox_boost_fun2 | CoxBoost model |
| deephit_fun | deephit model |
| deepsurv_fun | deepsurv model |
| ga_cox_boost_fun | CoxBoost model using GA as feature selection |
| ga_mtlr_fun | mtlr model using GA as feature selection |
| ga_original_cox_fun | coxph model using GA as feature selection |
| getPseudoConditional | dnnsurv model |
| glmnet_en_fun | elastic net cox model using glmnet |
| glmnet_lassocox_fun | lasso cox model using glmnet |
| glmnet_ridge_fun | ridge cox model using glmnet |
| mtlr_fun | mtlr model |
| mtlr_fun2 | mtlr model with de for feature selection |
| original_cox_fun | coxph model |
| p_cox1_fun | penalised coxph model lasso |
| p_cox2_fun | penalised coxph model ridge |
| p_cox3_fun | penalised coxph model elastic net |
| rsf1_fun | random survival forest model |
| rsf2_fun | random survival forest model with nodesize 5 |
| veteran | Example clinical data for this package |
