R: Deep Neural Network Tools for Probability and Statistic Models

# Deep Neural Network Tools for Probability and Statistic Models

## Documentation for package ‘dnn’ version 0.0.6

- DESCRIPTION file.

## Help Pages

dnn-package | An R package for the deep neural networks probability and statistics models
activation | Activation function
bwdCheck | Back propagation for dnn Models
bwdNN | Back propagation for dnn Models
bwdNN2 | Back propagation for dnn Models
CVpredErr | A function for tuning of the hyper parameters
deepAFT | Deep learning for the accelerated failure time (AFT) model
deepAFT.default | Deep learning for the accelerated failure time (AFT) model
deepAFT.formula | Deep learning for the accelerated failure time (AFT) model
deepAFT.ipcw | Deep learning for the accelerated failure time (AFT) model
deepAFT.trans | Deep learning for the accelerated failure time (AFT) model
deepGLM | Deep learning for the generalized linear model
deepGlm | Deep learning for the generalized linear model
deepSurv | Deep learning for the Cox proportional hazards model
deepSurv.default | Deep learning for the Cox proportional hazards model
delu | Activation function
didu | Activation function
dlrelu | Activation function
dnn | An R package for the deep neural networks probability and statistics models
dnn-doc | 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
dnnFit2 | Fitting a Deep Learning model with a given loss function
dNNmodel | Specify a deep neural network model
drelu | Activation function
dsigmoid | Activation function
dsurv | The Survival Distribution
dtanh | Activation function
elu | Activation function
fwdNN | Feed forward and back propagation for dnn Models
fwdNN2 | Feed forward and back propagation for dnn Models
hyperTuning | A function for tuning of the hyper parameters
ibs | Calculate integrated Brier Score for deepAFT
ibs.deepAFT | Calculate integrated Brier Score for deepAFT
ibs.default | Calculate integrated Brier Score for deepAFT
idu | Activation function
lrelu | Activation function
mseIPCW | Mean Square Error (mse) for a survival Object
optimizerAdamG | Functions to optimize the gradient descent of a cost function
optimizerMomentum | Functions to optimize the gradient descent of a cost function
optimizerNAG | Functions to optimize the gradient descent of a cost function
optimizerSGD | Functions to optimize the gradient descent of a cost function
plot.deepAFT | Plot methods in dnn package
plot.dNNmodel | Plot methods in dnn package
predict.deepGlm | Deep learning for the generalized linear model
predict.dNNmodel | Feed forward and back propagation for dnn Models
predict.dSurv | Predicted Values for a deepAFT Object
print.deepAFT | print a summary of fitted deep learning model object
print.deepGlm | print a summary of fitted deep learning model object
print.deepSurv | print a summary of fitted deep learning model object
print.dNNmodel | print a summary of fitted deep learning model object
print.summary.deepAFT | print a summary of fitted deep learning model object
print.summary.deepGlm | print a summary of fitted deep learning model object
print.summary.deepSurv | print a summary of fitted deep learning model object
print.summary.dNNmodel | print a summary of fitted deep learning model object
psurv | The Survival Distribution
qsurv | The Survival Distribution
rcoxph | The Survival Distribution
relu | Activation function
residuals.deepAFT | Calculate Residuals for a deepAFT Fit.
residuals.deepGlm | Deep learning for the generalized linear model
residuals.dSurv | Calculate Residuals for a deepAFT Fit.
rSurv | The Survival Distribution
rsurv | The Survival Distribution
sigmoid | Activation function
summary.deepAFT | print a summary of fitted deep learning model object
summary.deepGlm | Deep learning for the generalized linear model
summary.deepSurv | Deep learning for the Cox proportional hazards model
summary.dNNmodel | print a summary of fitted deep learning model object
survfit.dSurv | Compute a Survival Curve from a deepAFT or a deepSurv Model