Function reference • survivalmodels

All functions
`akritas()`	Akritas Conditional Non-Parametric Survival Estimator
`build_keras_net()`	Build a Keras Multilayer Perceptron
`build_pytorch_net()`	Build a Pytorch Multilayer Perceptron
`cindex()`	Compute Concordance of survivalmodel Risk
`coxtime()`	Cox-Time Survival Neural Network
`deephit()`	DeepHit Survival Neural Network
`deepsurv()`	DeepSurv Survival Neural Network
`dnnsurv()`	DNNSurv Neural Network for Conditional Survival Probabilities
`get_keras_optimizer()`	Get Keras Optimizer
`get_pycox_activation()`	Get Pytorch Activation Function
`get_pycox_callbacks()`	Get Torchtuples Callbacks
`get_pycox_init()`	Get Pytorch Weight Initialization Method
`get_pycox_optim()`	Get Pytorch Optimizer
`install_keras()`	Install Keras and Tensorflow
`install_pycox()`	Install Pycox With Reticulate
`install_torch()`	Install Torch With Reticulate
`loghaz()`	Logistic-Hazard Survival Neural Network
`parametric()`	Fully Parametric Survival Model
`pchazard()`	PC-Hazard Survival Neural Network
`predict(<akritas>)`	Predict method for Akritas Estimator
`predict(<dnnsurv>)`	Predict Method for DNNSurv
`predict(<parametric>)`	Predict method for Parametric Model
`predict(<pycox>)`	Predict Method for pycox Neural Networks
`pycox_prepare_train_data()`	Prepare Data for Pycox Model Training
`requireNamespaces()`	Vectorised Logical requireNamespace
`set_seed()`	Set seed in R numpy and torch
`simsurvdata()`	Simulate Survival Data
`surv_to_risk()`	Safely convert a survival matrix prediction to a relative risk
`survivalmodels` `survivalmodels-package`	survivalmodels: Models for Survival Analysis

Reference

All functions