Man pages for SkadiEye/deepTL
Deep Treatment Learning
| actF | Activation functions and their first order derivatives |
| appendArg | Append an argument on a list |
| backprop | Backprop (Internal) |
| backprop_BLOCK | Backprop Block (Internal) |
| backprop_long | Backprop Long (Internal) |
| backprop_surv | Backprop Surv (Internal) |
| cox_logl | Log-likelihood for Cox-Model (Internal) |
| deepTL-package | A short title line describing what the package does |
| dnnet | Multilayer Perceptron Model for Regression or Classification |
| dnnet.backprop.r | Back Propagation |
| dnnet_block | Blocked Feedforward Deep Neural Nets |
| dnnet-class | An S4 class containing a deep neural network |
| dnnetEnsemble-class | An S4 class containing an ensemble of deep neural networks |
| dnnetInput-class | An S4 class containing predictors (x), response (y) and... |
| dnnetSurvInput-class | An S4 class containing predictors (x), censoring time (y),... |
| double_deepTL | The algorithm for double deep treatment learning |
| ensemble_dnnet | An ensemble model of DNNs |
| getSplitDnnet | A function to generate indice |
| importDnnet | Import Data to create a 'dnnetInput' object. |
| importDnnetSurv | Import Data to create a 'dnnetSurvInput' object. |
| importTrt | Import Data to create a 'trtInput' object. |
| itrMod-class | An S4 class containing an individualized treatment rule (ITR)... |
| log_lik_diff | Log-likelihood Difference (Internal) |
| mod_permfit | Model passed to PermFIT (Internal) |
| neg_log_lik_ | Negative log-likelihood (Internal) |
| permfit | PermFIT: A permutation-based feature importance test. |
| PermFIT-class | An S4 class containing an permutation-based feature... |
| predict | Predict function for the package |
| predict_mod_permfit | Model prediction passed to PermFIT (Internal) |
| removeArg | Remove an argument on a list |
| show | Method show for the package |
| splitDnnet | A function to split the 'dnnetInput' object into a list of... |
| splitTrt | A function to split the 'trtInput' object into a list of two... |
| trtInput-class | An S4 class containing predictors (x), response (y) and... |
