R: High-Dimensional Screening for Semiparametric Longitudinal Regression

# High-Dimensional Screening for Semiparametric Longitudinal Regression

## Documentation for package ‘VariableScreening’ version 0.2.1

- DESCRIPTION file

## Help Pages

screenIID | Feature Selection for Ultrahigh-Dimensional Datasets with Independent Subjects,
screenLD | Perform high-dimensional screening for semiparametric longitudinal regression
screenVCM | Perform screening for ultrahigh-dimensional varying coefficient model
simulateDCSIS | Simulate a dataset for demonstrating the performance of screenIID with the DC-SIS method
simulateLD | Simulate a dataset for testing the performance of screenlong
simulateMVSIS | Simulate a dataset for demonstrating the performance of screenIID with the MV-SIS option with categorical outcome variable
simulateMVSISNY | Simulate a dataset for demonstrating the performance of screenIID with the MV-SIS method with numeric outcome Y
simulateSIRS | Simulate a dataset for demonstrating the performance of screenIID with the SIRS method
simulateVCM | Simulate a dataset for testing the performance of screenVCM