This function provides estimated
coefficients from a fitted "abess
" object.
# S3 method for class 'abess'
coef(object, support.size = NULL, sparse = TRUE, ...)
An "abess
" project.
An integer vector specifies
the coefficient fitted at given support.size
.
If support.size = NULL
, then all coefficients would be returned.
Default: support.size = NULL
.
A logical value, specifying whether the coefficients should be
presented as sparse matrix or not. Default: sparse = TRUE
.
Other arguments.
A coefficient matrix when fitting an univariate model including gaussian, binomial, poisson, and cox; otherwise, a list containing coefficient matrices. For a coefficient matrix, each row is a variable, and each column is a support size.
print.abess
,
predict.abess
,
coef.abess
,
extract.abess
,
plot.abess
,
deviance.abess
.