This function provides estimated coefficients from a fitted "abessrpca" object.

# S3 method for class 'abessrpca'
coef(object, support.size = NULL, sparse = TRUE, ...)

Arguments

object

An "abessrpca" project.

support.size

An integer vector specifies the sparse matrix fitted at given support.size to be returned. If support.size = NULL, then the sparse matrix with the least tuning value would be returned. Default: support.size = NULL.

sparse

A logical value, specifying whether the coefficients should be presented as sparse matrix or not. Default: sparse = TRUE.

...

Other arguments.

Value

A list with length(support.size) number of dgCMatrix, each of which is the estimation the sparse component.