[BioC] lower.limits and upper.limits in glmnet

[Yue Li]

Dear List,

A quick question about using the glmnet package (which I know is not a BioC package ... apologies):

Would the options "upper.limits" and "lower.limits" in glmnet be equivalent to an additionally constrained optimization on the range of the coefficients?

For instance, would setting upper.limits to 0 be equivalent to a non-positive least squared linear regression (regularized)?

Any helps are greatly appreciated!
Many thanks,
Yue