Dear all,
In this hands-on course, we’ll build a unified way of thinking about data analysis in R, covering:
1- Gaussian, binary, and count data
2- Logistic, Poisson, and Negative Binomial models
3 - Model selection and interpretation (what your coefficients really mean)
4 - Clear visualization and model checking
5 - First steps toward mixed models and Bayesian thinking
The course is designed for researchers and graduate students with basic statistics and some R experience.
Dates: 25–29 May - 2-8 PM Berlin time
Course website: https://www.physalia-courses.org/courses-workshops/glm-in-r-1/
Best regards,
Carlo
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Carlo Pecoraro, Ph.D
Physalia-courses DIRECTOR
in...@physalia-courses.org