R: Sparse Group Variable Selection for Gene-Environment Interactions in the Longitudinal Study

# Sparse Group Variable Selection for Gene-Environment Interactions in the Longitudinal Study

## Documentation for package ‘springer’ version 0.1.9

- DESCRIPTION file
- Package NEWS
- Package README

## Help Pages

springer-package | Sparse Group Variable Selection for Gene-Environment Interactions in the Longitudinal Study
cv.springer | k-folds cross-validation for springer
dat | simulated data for demonstrating the usage of springer
dmcp | The first order derivative function of MCP (Minimax Concave Penalty)
penalty | This function provides the penalty functions. Users can choose one of the three penalties: sparse group MCP, group MCP and MCP.
print.springer | print a springer result
reformat | This function changes the format of the longitudinal data from wide format to long format
springer | fit the model with given tuning parameters