Copula Additive Distributional Regression Using R

ebook Chapman & Hall/CRC the R Series

By Giampiero Marra

cover image of Copula Additive Distributional Regression Using R

Sign up to save your library

With an OverDrive account, you can save your favorite libraries for at-a-glance information about availability. Find out more about OverDrive accounts.

   Not today

Find this title in Libby, the library reading app by OverDrive.

Download Libby on the App Store Download Libby on Google Play

Search for a digital library with this title

Title found at these libraries:

Library Name Distance
Loading...

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.

Key Features:

  • Provides a comprehensive overview of joint regression modeling for multiple outcomes, with a focus on bivariate responses
  • Offers a practical approach with real-world examples from various fields
  • Demonstrates the implementation of all the discussed models using the GJRM package in R
  • Includes supplementary resources such as data accessible through the GJRM.data package in R and additional code available on the authors' webpages
  • 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.

    Copula Additive Distributional Regression Using R