When:
August 31, 2018 @ 2:00 pm – 3:00 pm
2018-08-31T14:00:00+10:00
2018-08-31T15:00:00+10:00
Where:
K-E26-G006 - TchLab 5 Biosciences South Teaching Lab 5
Sydney NSW 2052
Australia
General linear mixed effect models, important things to know and assumptions to check -- Eve Slavich @ K-E26-G006 - TchLab 5 Biosciences South Teaching Lab 5 | Sydney | New South Wales | Australia

Generalized linear mixed effects models are ubiquitous in ecology, for analysing count and binary data under a clustered sampling design. Sometimes there is confusion diagnosing these models for violations of model assumptions, as mixed models have different definitions of residuals- like marginal residuals and conditional residuals This session will cover how to diagnose a generalised linear mixed effect model, including functions from the Dharma package which aims to make visualisation easier for discrete data (like counts and binary).

Downlaod materials for this session here: 2018.08.31-Slavich-GAMMs