Skip to Main Content
Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
book

Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization

by Matt Wiley, Joshua F. Wiley
February 2019
Beginner to intermediate content levelBeginner to intermediate
649 pages
14h 32m
English
Apress
Content preview from Advanced R Statistical Programming and Data Models: Analysis, Machine Learning, and Visualization
© Matt Wiley and Joshua F. Wiley 2019
Matt Wiley and Joshua F. WileyAdvanced R Statistical Programming and Data Modelshttps://doi.org/10.1007/978-1-4842-2872-2_12

12. GLMMs: Advanced

Matt Wiley1  and Joshua F. Wiley1
(1)
Columbia City, IN, USA
 

This chapter on generalized linear mixed models (GLMMs) builds on the foundation of working with multilevel data from the GLMMs Introduction chapter and the GLMMs Linear chapter that focused strictly on continuous, normally distributed outcomes. This chapter focuses on GLMMs for other types of outcomes, specifically for binary outcomes and count outcomes.

We do use the optimx package [70] and the dfoptim package [97]. While not used directly (they are dependencies), they do need to be installed.
library(checkpoint) ...
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
and much more.
Start your free trial

You might also like

R: Recipes for Analysis, Visualization and Machine Learning

R: Recipes for Analysis, Visualization and Machine Learning

Viswa Viswanathan, Shanthi Viswanathan, Atmajitsinh Gohil, Chiu Yu-Wei
Advanced Machine Learning with R

Advanced Machine Learning with R

Cory Lesmeister, Dr. Sunil Kumar Chinnamgari

Publisher Resources

ISBN: 9781484228722Purchase LinkPublisher Website