# Efficient Algorithm for High-Dimensional Frailty Model

## Documentation for package ‘frailtyMMpen’ version 1.2.1

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

cluster | cluster function
coef.fpen | retrieve the coefficients under given tuning parameter
event | event function
frailtyMM | Fitting frailty models with clustered, multi-event and recurrent data using MM algorithm
frailtyMMpen | Fitting penalized frailty models with clustered, multi-event and recurrent data using MM algorithm
hdCLdata | Simulated High-dimensional Clustered data
plot.fmm | Plot the baseline hazard or the predicted hazard based on the new data
plot.fpen | Plot the regularization path
predict.fmm | Estimate the baseline hazard or the predict hazard rate based on the new data for non-penalized regression
predict.fpen | Estimate the baseline hazard or the predict hazard rate based on the new data for penalized regression
print.fmm | print a non-penalized regression object
print.fpen | print a penalized regression object
simdataCL | Simulated Clustered data
simdataME | Simulated Multiple Event data
simdataRE | Simulated Recurrent Event data
summary.fmm | Provide the summary for the model fitting