PUMA: A Unified Framework for Penalized Multiple Regression Analysis of GWAS Data
Figure 1
Penalty functions on the magnitude of the regression coefficients implemented in the PUMA framework.
A parameter determines the slope near the origin for all penalties, while MCP, LOG and NEG have an additional tuning parameter determining the rate at which the derivative of the penalty tails off to zero.