g.ridge: An R Package for Generalized Ridge Regression for Sparse and High-Dimensional Linear Models.
Takeshi EmuraKoutarou MatsumotoRyuji UozumiHirofumi MichimaePublished in: Symmetry (2024)
Keyphrases
- linear models
- ridge regression
- linear regression
- high dimensional
- additive models
- variable selection
- ls svm
- least squares
- regression methods
- low dimensional
- linear model
- dimensionality reduction
- high dimensionality
- high dimensional data
- feature space
- dimension reduction
- cross validation
- nearest neighbor
- support vector machine
- data points
- similarity measure
- model selection
- multi class
- bayesian networks