fitted_prclmm |
A fitted PRC LMM |
fitted_prcmlpmm |
A fitted PRC MLPMM |
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 model(s)) |
pbc2data |
pbc2 dataset |
pencox |
Estimation of a penalized Cox model with time-independent covariates |
performance_pencox |
Predictive performance of the penalized Cox model with time-independent covariates |
performance_prc |
Predictive performance of the PRC-LMM and PRC-MLPMM models |
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 effects) |
summarize_mlpmms |
Step 2 of PRC-MLPMM (computation of the predicted random effects) |
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 the PRC models |
survpred_prcmlpmm |
Compute the predicted survival probabilities obtained from the PRC models |