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-package           Fit the Additive Trend Filtering Cox Model
tfCox_choose_lambda     Choose the tuning parameter lambda using
                        training and testing dataset
