Installation
About
The Graphical Group Ridge 'GGRidge' package package classifies ridge regression predictors in disjoint groups of conditionally correlated variables and derives different penalties (shrinkage parameters) for these groups of predictors. It combines the ridge regression method with the graphical model for high-dimensional data (i.e. the number of predictors exceeds the number of cases) or ill-conditioned data (e.g. in the presence of multicollinearity among predictors). The package reduces the mean square errors and the extent of over-shrinking of predictors as compared to the ridge method.Aldahmani, S. and Zoubeidi, T. (2020) doi:10.1080/00949655.2020.1803320.
Key Metrics
Downloads
Yesterday | 19 0% |
Last 7 days | 138 -25% |
Last 30 days | 590 -14% |
Last 90 days | 2.051 +35% |
Last 365 days | 4.705 +61% |