Our books
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Which book is right for me?
Modern statistical methods:
- Modern GLMs and zero-inflated models: The World of Zero-Inflated Models. Volume 1: Using GLM (2021)
- Modern GLMMs and zero-inflated mixed models: The World of Zero-Inflated Models. Volume 2: Using GLMM (2024)
- Multivariate GLMs, GLMMs and GLLVMs: The World of Zero-Inflated Models. Volume 3: Using GLLVM (2025)
Bayesian spatial and spatio-temporal modelling with R-INLA
These books provide detailed, applied introductions to spatial, temporal and spatio-temporal modelling using R-INLA.
- GLMs and GLMMs with spatial and temporal dependence: Beginner’s Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. Volume I: Using GLM and GLMM (2017)
- GAMs and zero-inflated models with spatial and temporal dependence: Beginner’s Guide to Spatial, Temporal and Spatial-Temporal Ecological Data Analysis with R-INLA. Volume II: GAM and Zero-Inflated Models (2018)
General introductions:
- A basic introduction to GAMs: A Beginner’s Guide to Generalized Additive Models with R (2012)
- A basic introduction to data exploration and visualisation: A Beginner’s Guide to Data Exploration and Visualisation with R (2015)
Earlier specialist books using JAGS or MCMC:
The four books below are primarily intended for readers who specifically wish to work with JAGS or older MCMC-based approaches. For most readers, we recommend the more recent books listed above.
- GLMs and GLMMs using frequentist and Bayesian methods: A Beginner’s Guide to GLM and GLMM with R (2013)
- Zero-inflated models using frequentist and Bayesian methods, including JAGS: A Beginner’s Guide to Zero-Inflated Models with R (2016)
- GAMMs using frequentist and Bayesian methods, including JAGS: A Beginner’s Guide to Generalized Additive Mixed Models with R (2014)
- Zero-inflated GLMs and GLMMs using MCMC: Zero Inflated Models and Generalized Linear Mixed Models with R (2012
