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 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 include clustered
observations, repeated measurements, longitudinal measurements, multivariate
observations, etc.
The aim of our book is to help readers in fitting LMMs using R... |  |  |  |  |
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 C & C++ Code Capsules: A Guide for Practitioners
This book shares the hard-won wisdom of a highly-successful C++/C programmer - along with a large collection of ANSI-compliant programs that illustrate the true power of C++. This book includes a wide variety of ideas, tips and techniques for programmers of all skill levels. It presents little-known facts about pointers and... |  |  An Introduction to Bootstrap Methods with Applications to R
A comprehensive introduction to bootstrap methods in the R programming environment
Bootstrap methods provide a powerful approach to statistical data analysis, as they have more general applications than standard parametric methods. An Introduction to Bootstrap Methods with Applications to R explores the... |  |  C++ Programming in easy steps
C++ Programming in Easy Steps instructs you how to program in the powerful C++ language, giving complete examples that illustrate each aspect.
C++ Programming in Easy Steps begins by explaining how to download and install a free C++ compiler so you can quickly begin to create your own executable ... |
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