Models for Survival Analysis
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Documentation for package ‘survivalmodels’ version 0.1.191
Help Pages
| 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 |