# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "LogisticCopula" in publications use:' type: software license: MIT title: 'LogisticCopula: A Copula Based Extension of Logistic Regression' version: 0.1.0 doi: 10.32614/CRAN.package.LogisticCopula abstract: An implementation of a method of extending a logistic regression model beyond linear effects of the co-variates. The extension in is constructed by first equating the logistic regression model to a naive Bayes model where all the margins are specified to follow natural exponential distributions conditional on Y, that is, a model for Y given X that is specified through the distribution of X given Y, where the columns of X are assumed to be mutually independent conditional on Y. Subsequently, the model is expanded by adding vine - copulas to relax the assumption of mutual independence, where pair-copulas are added in a stage-wise, forward selection manner. Some heuristics are employed during the process of selecting edges, as well as the families of pair-copula models. After each component is added, the parameters are updated by a (smaller) number of gradient steps to maximise the likelihood. When the algorithm has stopped adding edges, based the criterion that a new edge should improve the likelihood more than k times the number new parameters, the parameters are updated with a larger number of gradient steps, or until convergence. authors: - family-names: Brant given-names: Simon Boge email: simbrant91@gmail.com - family-names: Hobæk Haff given-names: Ingrid repository: https://CRAN.R-project.org/package=LogisticCopula date-released: '2024-06-28' contact: - family-names: Brant given-names: Simon Boge email: simbrant91@gmail.com