bgeva.gIMb: Internal Function
In bgeva: Binary Generalized Extreme Value Additive Models
Description
It provides an alternative version of the log-likelihood, gradient and Hessian (or Fisher) information matrix for penalized or unpenalized maximum likelihood optimization.
Author(s)
Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk
bgeva documentation built on May 1, 2019, 7:23 p.m.
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Description
It provides an alternative version of the log-likelihood, gradient and Hessian (or Fisher) information matrix for penalized or unpenalized maximum likelihood optimization.
Author(s)
Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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