Regression

Resources for modeling: from linear models to non linear models

maintained by : Gilles Yoccoz Click here to contribute

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Type: course video exo open book book article git repo website

level: begin intermediate advanced

Overview

Name Links
Statistics for ecologists O. Gimenez – A master course introducing likelihoods, hypothesis testing, Bayesian inference, GLM, GLMM, GAM
Statistical Thinking for the 21st Century R A Poldrack – focuses on understanding the basic ideas of statistical thinking, about how we describe the world and use data in the context of the inherent uncertainty that exists in the real world
Michael Clark site – A series of open introductory workshops in bayesian analysis, mixed models, GAM, SEM and machine learning
Beyond Multiple Linear Regression P Roback, J Legler – A full textbook to apply generalized linear models and multilevel models in R

Linear models

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Regression Methods I Pardoe, Penn State College – a full course on linear regression, also introducing generalized linear regression

Mixed models

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GLMM course S. Anderson – a 2 day workshop including a full introduction, regression, random intercepts and slopes, spatial and temporal autocorrelation
GLMM FAQ B.Bolker et al.
Rpubs B. Bolker – “blog form”, A collection of short tuto on specific subjects
Generalized linear mixed models: a practical guide for ecology and evolution B.Bolker et al.
How to Make Models Add Up — A Primer on GLMMs R O’Hara
SIMR: an R package for power analysis of generalized linear mixed models by simulation P Greenet al. – 2016
Beyond Power Calculations: Assessing Type S (Sign) and Type M (Magnitude) Errors A Gelman, J Carlin – 2014
Introduction to mixed models H Brown – March 2016. Series of videos giving a general but quick & unfriendly introduction
GLMM for ecologists and evolutionary biologists B.Bolker et al. – a wiki including resources on the practical use of GLMM

GAMM

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Introduction to Generalized Additive Models with R and mgcv G Simpson a 3h course introducing how to fit and check GAM
mgcv course G Simpson, N Ross, Slides and exercices from a day workshop introducing how to fit and check GAM

Structural Equation Modeling

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An Introduction to Structural Equation Modeling J Lefcheck – A complete book introducing SEM and the piecewiseSEM package
Structural equation modeling and natural systems JB Grace – 2006
Cause and Correlation in Biology: A User’s Guide to Path Analysis, Structural Equations and Causal Inference with R B Shipley – 2016

Plot your model

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Check your model

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Model Selection

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A practical guide to selecting models for exploration, inference, and prediction in ecology Tredennick et al.

Model Averaging

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