Package: copulaboost 0.1.0

Simon Boge Brant

copulaboost: Fitting Additive Copula Regression Models for Binary Outcome Regression

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.

Authors:Simon Boge Brant [aut, cre], Ingrid Hobæk Haff [aut]

copulaboost_0.1.0.tar.gz
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copulaboost/json (API)

# Install 'copulaboost' in R:
install.packages('copulaboost', repos = 'https://cloud.r-project.org')

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 206 downloads 2 exports 11 dependencies

Last updated 3 years agofrom:f23f46a2b4. Checks:3 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 17 2025
R-4.5-linuxOKMar 17 2025
R-4.4-linuxOKMar 17 2025

Exports:copulaboostcopulareg

Dependencies:assertthatBHkde1dlatticerandtoolboxRcppRcppEigenRcppThreadrngWELLrvinecopulibwdm

Citation

To cite package ‘copulaboost’ in publications use:

Brant S, Hobæk Haff I (2022). copulaboost: Fitting Additive Copula Regression Models for Binary Outcome Regression. R package version 0.1.0, https://CRAN.R-project.org/package=copulaboost.

Corresponding BibTeX entry:

  @Manual{,
    title = {copulaboost: Fitting Additive Copula Regression Models for
      Binary Outcome Regression},
    author = {Simon Boge Brant and Ingrid {Hobæk Haff}},
    year = {2022},
    note = {R package version 0.1.0},
    url = {https://CRAN.R-project.org/package=copulaboost},
  }

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