Closed Derek-Jones closed 3 years ago
Finally addressing this in branch vignette
, which should be included in 0.8 release. The predict
functions are updated to take a type
argument, which can be "response"
to get fitted response value or "link"
to get a data frame with columns lambda
, nu
and p
(if zero-inflated regression is used). This was inspired by the interface of the predict.glm
function, so hopefully you will find it intuitive.
The call: coef(mod, what="lambda") does not return desired value.
I am using the code exp(mod$beta), and would like to use the 'standard' approach via coef.