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


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Documentation for package ‘springer’ version 0.1.9

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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