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Published in:
2019 | OriginalPaper | Chapter
13. Modelling IIV
Authors : Matt Wiley, Joshua F. Wiley
Published in: Advanced R Statistical Programming and Data Models
Publisher: Apress
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Abstract
Up until this point, we have focused exclusively on statistical models of the location (or mean) of a distribution. This chapter focuses on something new, the scale or variability of a distribution. Specifically, this chapter introduces the concept of intra-individual variability (IIV), the variability within individual units across repeated assessments. Although a relatively niche area of study, IIV provides additional information about an individual unit and allows new types of research or practical questions to be evaluated, such as do people (schools, factories, etc.) with greater variability have different outcomes? This chapter makes use of the package
varian which was developed by one of the authors specifically for variability analysis.
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(data.table)
library(JWileymisc)
library(varian)
library(mice)
library(parallel)
options(width = 70, digits = 2)