Onsite course: The World of Zero-Inflated Models -Using GLMs, GLMMs and multivariate GLMMs. 7 - 11 October 2024
Course flyer
This payment is for in-person (onsite) attendance. For online attendance (via Zoom), please follow this link: Join an online Zoom course. VAT rates for onsite and online attendance may differ; see the flyer for details
Key components:
- Analysis of count data, continuous data and proportional data with an
excessive number of zeros.
- Applying zero-inflated Poisson, negative binomial, generalised Pois-
son, Tweedie, binomial, beta and ordered beta GLMs and GLMMs
using glmmTMB. Applying hurdle models using glmmTMB.
- Analysing zero-inflated multivariate response variables using gener-
alised linear latent variable models (GLLVM).
The course begins with a brief review of Poisson and negative binomial
GLMs. After presenting the theory on how these models can be extended
to zero-inflated models, we will apply them to various datasets.
In the second part of the course, we will utilise GLMMs to analyse zero-
inflated data. In the third part, we will use GLLVMs to analyse multiple
species.
Throughout the course, we will use the glmmTMB package for zero-inflated GLMs and GLMMs, and the gllvm package for multivariate GLMMs.
Pre-required knowledge
Working knowledge of R, data exploration, linear regression, GLM (Poisson, negative binomial, Bernoulli) and linear mixed-effects models. The course website provides preparatory materials, including on-demand videos and R scripts covering these topics. If you are not familiar with these methods, please review them before the course begins.
This is an onsite course, but you can also participate online via a Zoom connection (same price).
1 hour face-to-face
The course includes a 1-hour face-to-face video chat with the instructors (to be used after the course). You are invited to apply the statistical techniques discussed during the course on your own data and if you encounter any problems, you can ask questions during the 1-hour face-to-face chat.
A discussion board (access for 12 months) allows for interaction on course content between instructors and participants.
Course content
Preparation material with on-demand video
- Exercise on linear regression.
- Exercise on Poisson and negative binomial GLM, and Bernoulli GLM.
- Exercise on linear mixed-effects models.
Module 1 (Monday)
- General introduction.
- One exercise revising basic GLMs.
- Model validation using DHARMa.
- Theory presentation on zero-inflated models.
Module 2 (Tuesday)
- Two exercises using zero-inflated GLMs for the analysis of data sets with an excessive number of zeros in
the count data.
- Exercise using a zero-inflated Poisson GLMM to analyse count data.
Module 3 (Wednesday)
- Exercise using a zero-inflated negative binomial GLMM to analyse count data.
- Exercise using a beta GLMM and ordered beta GLMM to analyse zero-inflated proportional data.
- Exercise using a Tweedie GLMM to analyse continuous data with an excessive number of zeros.
Module 4 (Thursday)
- Catching up
- Exercise using hurdle models for the analysis of zero-inflated count data.
- Exercise using a zero-altered Gamma GLMM to analyse continuous data with an excessive number of zeros.
- Time allowing: Exercise using a zero-inflated binomial GLMM to analyse proportional data.
Module 5 (Friday)
- Theory presentation: Generalised linear latent variable models (GLLVM) for the analysis of data sets with multiple response variables.
- Exercise showing how to apply a GLLVM to count data.
- Exercise showing how to apply a GLLVM to zero-inflated count data
We reserve the right to change the exercises. Pdf files of all theory material will be provided. All exercises consist of data sets and annotated R scripts. Access to the course website is for 12 months. The Monday-Friday material does not contain on-demand video.
For terms and conditions, see: