Man pages for pencal
Penalized Regression Calibration (PRC) for the Dynamic Prediction of Survival
| draw_cluster_bootstrap | Draw a cluster bootstrap sample from a data frame in long... |
| fit_lmms | Step 1 of PRC-LMM (estimation of the linear mixed models) |
| fit_mlpmms | Step 1 of PRC-MLPMM (estimation of the linear mixed models) |
| fit_prclmm | Step 3 of PRC-LMM (estimation of the penalized Cox model(s)) |
| fit_prcmlpmm | Step 3 of PRC-MLPMM (estimation of the penalized Cox... |
| fitted_prclmm | A fitted PRC LMM |
| fitted_prcmlpmm | A fitted PRC MLPMM |
| pbc2data | pbc2 dataset |
| pencox | Estimation of a penalized Cox model with time-independent... |
| performance_pencox | Predictive performance of the penalized Cox model with... |
| performance_prc | Predictive performance of the PRC-LMM and PRC-MLPMM models |
| prepare_longdata | Prepare longitudinal data for PRC |
| print.prclmm | Print method for PRC-LMM model fits |
| print.prcmlpmm | Print method for PRC-MLPMM model fits |
| simulate_prclmm_data | Simulate data that can be used to fit the PRC-LMM model |
| simulate_prcmlpmm_data | Simulate data that can be used to fit the PRC-LMM model |
| simulate_t_weibull | Generate survival data from a Weibull model |
| summarize_lmms | Step 2 of PRC-LMM (computation of the predicted random... |
| summarize_mlpmms | Step 2 of PRC-MLPMM (computation of the predicted random... |
| summary.lmmfit | Extract model fits from step 1 of PRC-LMM |
| summary.mlpmmfit | Extract model fits from step 1 of PRC-LMM |
| summary.prclmm | Summary method for PRC-LMM model fits |
| summary.prcmlpmm | Summary method for PRC-MLPMM model fits |
| summary.ranefs | Summary for step 2 of PRC |
| survplot_prc | Visualize survival predictions for a fitted PRC model |
| survpred_prclmm | Compute the predicted survival probabilities obtained from... |
| survpred_prcmlpmm | Compute the predicted survival probabilities obtained from... |
