activation              Activation function
bwdNN                   Back propagation for dnn Models
dNNmodel                Specify a deep neural network model
deepAFT                 Deep learning for the accelerated failure time
                        (AFT) model
deepGLM                 Deep learning for the generalized linear models
deepSurv                Deep learning for the Cox proportional hazards
                        model
dnn-package             An R package for the deep neural networks
                        probability and statistics models
dnnControl              Auxiliary function for 'dnnFit' dnnFit
dnnFit                  Fitting a Deep Learning model with a given loss
                        function
fwdNN                   Feed forward and back propagation for dnn
                        Models
hyperTuning             A function for tuning of the hyper parameters
ibs.deepAFT             Calculate integrated Brier Score for deepAFT
mseIPCW                 Mean Square Error (mse) for a fitted survival
                        Object
optimizerSGD            Functions to optimize the gradient descent of a
                        cost function
plot.deepAFT            Plot methods in dnn package
predict.dSurv           Predicted Values for a deepAFT or a deepSurv
                        Object
print.deepAFT           print a summary of fitted deep learning model
                        object
residuals.deepAFT       Calculate Residuals for a deepAFT Fit.
rmst.deepSurv           The restricted mean survival time (RMST)
survfit.deepAFT         Compute a Survival Curve from a deepAFT or a
                        deepSurv Model
