bprobgHsContUniv: Internal Function
In SemiParBIVProbit: Semiparametric Copula Regression Models
View source: R/bprobgHsContUniv.r
Description
It provides the log-likelihood, gradient and observed information matrix for
penalized/unpenalized maximum likelihood optimization when fitting univariate models with discrete/continuous response.
Author(s)
Maintainer: Giampiero Marra giampiero.marra@ucl.ac.uk
SemiParBIVProbit documentation built on June 20, 2017, 9:03 a.m.
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View source: R/bprobgHsContUniv.r
Description
It provides the log-likelihood, gradient and observed information matrix for penalized/unpenalized maximum likelihood optimization when fitting univariate models with discrete/continuous response.
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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