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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_11

11. GLMMs: Linear

Matt Wiley1  and Joshua F. Wiley1
(1)
Columbia City, IN, USA
 
This chapter builds on the foundation of working with multilevel data and introduces a class of statistical models—generalized linear mixed models (GLMMs)—that are appropriate for such data.
library(checkpoint)
checkpoint("2018-09-28", R.version = "3.5.1",
  project = book_directory,
  checkpointLocation = checkpoint_directory,
  scanForPackages = FALSE,
  scan.rnw.with.knitr = TRUE, use.knitr = TRUE)
library(knitr)
library(ggplot2)
library(cowplot)
library(viridis)
library(JWileymisc)
library(data.table)
library(lme4)
library(lmerTest) ...
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Publisher Resources

ISBN: 9781484228722Purchase LinkPublisher Website