Boosting models for fitting generalized additive models for location, shape and scale (GAMLSS) to potentially high dimensional data. The current relase version can be found on CRAN (https://cran.r-project.org/package=gamboostLSS).
I have implemented the bivariate Poisson distribution as a new families-object within your package for a project which is currently under review. One referee suggested to make a pull request here to contribute this family to gamboostLSS. The code for the family can be found in my repository "match-fixing-warning-systems" in the file "BivPoisFamily.R". I'd be happy to hear what you think about this! :-)
Coverage increased (+3.04%) to 81.497% when pulling bbe656b4e16fdc16f8ceb449404283561dac64e2 on master into 59566be7abd6d4004e4739774732f6afa5bc5dd8 on devel.
Hi gamboostLSS-Team,
I have implemented the bivariate Poisson distribution as a new families-object within your package for a project which is currently under review. One referee suggested to make a pull request here to contribute this family to gamboostLSS. The code for the family can be found in my repository "match-fixing-warning-systems" in the file "BivPoisFamily.R". I'd be happy to hear what you think about this! :-)
Best Marius