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 |