coef.cv.dcsvm: Compute Coefficients from a "cv.dcsvm" Object

In dcsvm: Density Convoluted Support Vector Machines

Compute Coefficients from a "cv.dcsvm" Object

Description

Computes the coefficients at specified lambda values for a cv.dcsvm object.

Usage

## S3 method for class 'cv.dcsvm'
coef(object, s = c("lambda.1se", "lambda.min"), ...)

Arguments

object	A fitted cv.dcsvm object, obtained by conducting cross-validation on the sparse density-convoluted SVM model.
s	Value(s) of the L1 tuning parameter lambda for computing coefficients. Default is "lambda.1se", the largest lambda value achieving a cross-validation error within one standard error of the minimum. Alternatively, "lambda.min" corresponds to the lambda incurring the least cross-validation error. s can also be numeric, specifying the value(s) to use.
...	Other arguments that can be passed to dcsvm.

Details

Compute Coefficients from a "cv.dcsvm" Object

Computes coefficients at chosen values of lambda from the cv.dcsvm object.

This function computes the coefficients for lambda values suggested by cross-validation.

Value

The returned object depends on the choice of s and any additional arguments passed to the dcsvm method.

See Also

cv.dcsvm and predict.cv.dcsvm methods.

Examples

data(colon)
colon$x <- colon$x[ ,1:100] # Use only the first 100 columns for this example
set.seed(1)
cv <- cv.dcsvm(colon$x, colon$y, lam2=1, nfolds=5)
c1 <- coef(cv, s="lambda.1se")

dcsvm documentation built on April 3, 2025, 10:27 p.m.