Opening book details…
Can I read Linear models and linear mixed effects models in R: Tutorial 1 on EtoBox?
Linear models and linear mixed effects models in R: Tutorial 1 by Winter B. is a nonfiction available to read on EtoBox.
What is Linear models and linear mixed effects models in R: Tutorial 1 about?
Bodo Winter, 2013. – 21 p. – ISBN: N/A Linear models and linear mixed models are an impressively powerful and flexible tool for understanding the world. This tutorial is the first of two tutorials that introduce you to these models. The tutorials are decidedly conceptual and omit a lot of the more involved mathematical stuff. The focus is on understanding what these models are doing ... and then we’ll spend most of the time applying this understanding. The idea is to bootstrap your knowledge as quickly as possible so that you can start with your own analyses and then turn to more technical texts if needed.
Who reads Linear models and linear mixed effects models in R: Tutorial 1?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Winter B.
- Language
- EN
- Category
- nonfiction
- Subjects
- Computer Science, Programming, Stem
More by Winter B.
Similar books
- Longitudinal Data Analysis : Autoregressive Linear Mixed Effects Models — Takashi Ikuko Funatogawa (2018)
- Generalized, Linear, and Mixed Models, Vol. 1 — Charles E. McCulloch, Shayle R. Searle (2001)
- Mixed Effects Models in S and S-Plus — Jose C. Pinheiro, Douglas M. Bates (2000)
- Statistical Texts for Mixed Linear Models: Khuri/Statistical — Andre I. Khuri, Thomas Mathew, Bimal K. Sinha(auth.) (1998)
- Linear Model Theory: Univariate, Multivariate, and Mixed Models (Wiley Series in Probability and Statistics) — Keith E Muller; Paul Wilder Stewart (2006)
- Linear and Generalized Linear Mixed Models and Their Applications (Springer Series in Statistics) — Jiming Jiang,Thuan Nguyen (auth.) (2021)