# Penalized Regression Calibration (PRC)

## Documentation for package ‘pencal’ version 1.3.2

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

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))
getlmm | Extract model fits from step 1 of PRC-LMM
getmlpmm | Extract model fits from step 1 of PRC-LMM
pencox_baseline | Estimation of a penalized Cox model with baseline covariates onlu
performance_pencox_baseline | Predictive performance of the penalized Cox model with baseline 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.prclmm | Summary method for PRC-LMM model fits
summary.prcmlpmm | Summary method for PRC-MLPMM model fits
survpred_prclmm | Compute the predicted survival probabilities obtained from the PRC models
survpred_prcmlpmm | Compute the predicted survival probabilities obtained from the PRC models