plrCMA-methods {CMA} | R Documentation |
L2 penalized logistic regression
Description
High dimensional logistic regression combined with an L2-type (Ridge-)penalty.
Multiclass case is also possible.
Methods
- X = "matrix", y = "numeric", f = "missing"
- signature 1
- X = "matrix", y = "factor", f = "missing"
- signature 2
- X = "data.frame", y = "missing", f = "formula"
- signature 3
- X = "ExpressionSet", y = "character", f = "missing"
- signature 4
For further argument and output information, consult
plrCMA
.
[Package
CMA version 1.0.0
Index]