Understanding the glm family argument (in R)
The goal of this video is to help you better understand the 'error distribution' and 'link function' in Generalized Linear Models. For a deeper understanding of GLM's, I'd recommend the book "Generalized Linear Models" by McCullagh and Nelder. This is a book well worth buying, but I also (somehow) found an online version: http://www.utstat.toronto.edu/~brunne...
▶︎
GLM in R
▶︎
Multilevel models in R
▶︎
Understanding Generalized Linear Models (Logistic, Poisson, etc.)
▶︎
How to interpret (and assess!) a GLM in R
▶︎
Generalized Linear Models (GLMs) for Absolute Beginners
▶︎
Poisson regression in R
▶︎
Regression with Count Data: Poisson and Negative Binomial
▶︎
Demetri Pananos - Making sense of marginal effects
▶︎
Introduction to Generalized Additive Models with R and mgcv
▶︎
Explaining generalized linear models (GLMs) | VNT #15
▶︎
GLM Binomial Classification Logistic Funtion R
▶︎
Generalized Linear Model GLM in SPSS: A Step-by-Step Tutorial for Beginners and Researchers
▶︎
Intro to Hypothesis Testing in Statistics - Hypothesis Testing Statistics Problems & Examples
▶︎
Jon Ossoff Destroys Pete Hegseth; Elon Musk Mocked for AI Odyssey After MAGA Meltdown: A Closer Look
▶︎
GLM Part 1 - A New Perspective
▶︎
Don’t Ignore Interactions - Unleash the Full Power of Models with {emmeans} R-package
▶︎
Basic statistics in R
▶︎
Statistical Learning: 4.8 Generalized Linear Models
▶︎
Generalized Mixed Models in R
▶︎