_{Course Overview > Zero inflated general linear mixed models}

Zero inflated general linear mixed models: artisanal fishing data analysis

This is a third module of the course, where we will again repeat the basic concepts of fitting and understanding outputs of linear and mixed effect models. The example data set uses FAO data on hilsa shad (Tenualosa ilisha) catches in Bangladesh (1992-1993). We will aim to standardise caches of hilsa based on the net lenght, number of days fishing, area and month. We will introduce a concept of zero inflated models and how to deal with datasets that have a lot of zero entries.

Data and scripts

The R script and the example dataset. You can also access all the scripts and datasets from the course GitHub page.

Slides and video

The tutorial video from the online meeting: lecture and the R script presentation.

And you can also download slides from this lecture.