Fitting Additive Copula Regression Models for Binary Outcome Regression R package copulaboost version 0.1.0 Additive copula regression for regression problems with binary outcome via gradient boosting [Brant, Hobæk Haff (2022); <arXiv:2208.04669>]. The fitting process includes a specialised model selection algorithm for each component, where each component is found (by greedy optimisation) among all the D-vines with only Gaussian pair-copulas of a fixed dimension, as specified by the user. When the variables and structure have been selected, the algorithm then re-fits the component where the pair-copula distributions can be different from Gaussian, if specified. Software Imports: rvinecopulib (>= 0.5.4.1.0) Simon Boge Brant <simbrant91@gmail.com> Comprehensive R Archive Network (CRAN) Simon Boge Brant [aut, cre] (ORCID: <https://orcid.org/0000-0001-8049-7069>), Ingrid Hobæk Haff [aut] MIT + file LICENCE (https://CRAN.R-project.org/package=copulaboost/LICENCE) 2022-08-23 application/tgz https://CRAN.R-project.org/package=copulaboost doi:10.32614/CRAN.package.copulaboost