Linear Mixed-Effects Models Using R A Step-by-Step Approach /
Linear mixed-effects models (LMMs) are an important class of statistical models that can be used to analyze correlated data. Such data are encountered in a variety of fields including biostatistics, public health, psychometrics, educational measurement, and sociology. This book aims to support a wid...
| Main Authors: | , |
|---|---|
| Corporate Author: | |
| Format: | Electronic eBook |
| Language: | English |
| Published: |
New York, NY :
Springer New York : Imprint: Springer,
2013.
|
| Series: | Springer Texts in Statistics,
|
| Subjects: | |
| Online Access: | Full Text via HEAL-Link |
