Efficient Algorithm for High-Dimensional Frailty Model

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Documentation for package ‘frailtyMMpen’ version 1.2.1

• DESCRIPTION file.
• Package NEWS.

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