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Автор: Giampiero Marra, Rosalba Radice
Издательство: CRC Press
Серия: The R Series
Год: 2026
Страниц: 151
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
Copula additive distributional regression enables the joint modeling of multiple outcomes, an essential aspect of many real-world research problems. This book provides an accessible overview of this modeling approach, with a particular focus on its implementation in the GJRM R package, developed by the authors. The emphasis is on bivariate responses with empirical illustrations drawn from diverse fields such as health and medicine, epidemiology, economics and social sciences. The book is organized into four parts. Part I introduces the copula additive distributional regression framework and provides a succinct overview of the GJRM and GJRM.data packages in R. Part II focuses on scenarios where the marginal distributions are of the same type, while Part III explores cases with mixed marginal types. Finally, Part IV demonstrates how copula regression can be applied to estimate causal treatment effects in the presence of unobserved confounding. This book is designed for graduate students, researchers, practitioners and analysts who are interested in using copula additive distributional regression for the joint modeling of bivariate outcomes. The methodology is accessible to readers with a basic understanding of core statistics and probability, regression, copula modeling and R.