survivalmodels-package |
survivalmodels: Models for Survival Analysis |
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 |
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 |
pchazard |
PC-Hazard Survival Neural Network |
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 |
survivalmodels |
survivalmodels: Models for Survival Analysis |
surv_to_risk |
Safely convert a survival matrix prediction to a relative risk |