| tfCox-package | Fit the Additive Trend Filtering Cox Model |
| cv_tfCox | Fit Trend Filtering Cox model and Choose Tuning Parameter via K-Fold Cross-Validation |
| negloglik | Calculate the negative log likelihood from Cox model. |
| plot.cv_tfCox | Plots Cross-Validation Curve for Object of Class "cv_tfCox" |
| plot.sim_dat | Plot the true covariate effects |
| plot.tfCox | Plot Fitted Functions from Class "tfCox" |
| predict.tfCox | Predict for a New Covariate Matrix and fit from 'tfCox' |
| predict_best_lambda | Predict from the optimal lambda from tfCox_choose_lambda |
| sim_dat | Simulate Data from a Variety of Functional Scenarios |
| summary.cv_tfCox | Summarize 'cv_tfCox' object |
| summary.tfCox | Summarize 'tfCox' object |
| tfCox | Fit the additive trend filtering Cox model with a range of tuning parameters |
| tfCox_choose_lambda | Choose the tuning parameter lambda using training and testing dataset |