[R-sig-ME] Online course: Generalised Additive Mixed Models (GAMM) with R, July 2025

[Soledad De Esteban-Trivigno]

Dear colleagues,

Transmitting Science has opened registration for the course "Generalised 
Additive Mixed Models (GAMM): modelling space-time correlation 
structures".

Dates and schedule: July 21st, 23rd, and 25th, 2025. From 09:30 to 13:30 
(Madrid time zone).

Course webpage: 
https://www.transmittingscience.com/courses/statistics-and-bioinformatics/generalised-additive-mixed-models-modelling-space-time-correlation-structures/

Programme:

Module I. Spatial and Temporal Autocorrelation

  	* Definition of spatial and temporal autocorrelation
  	* Tools for the detection of spatial and temporal autocorrelation
  	* GAM Models
  	* Theory of Additive Models (AM) and Generalized Additive Models (GAM)
  	* Simple GAM Model
  	* Fitting and Validation of a simple GAM model (bivariate)
  	* Multiple GAM Models (multivariable)
  	* Fitting and Validation of a multiple GAM model
  	* Multiple GAM for count data with an offset

Module II. Mixed Models and GAMMs

  	* Introduction to Mixed Effects Models
  	* Fitting GAM Model and Independence Validation
  	* Fitting and validation of GAMM 1 Model
  	* GAMM with temporal autocorrelation structure
  	* Fitting and validation of GAMM 2 Model
  	* GAMM with space-temporal structure
  	* Resolution of specific work doubts

If you have further inquiries, do not hesitate to write to 
courses using transmittingscience.com

With best regards

Sole

-- 
Soledad De Esteban-Trivigno, PhD
Director
Transmitting Science
www.transmittingscience.com/courses

Bluesky @soledeesteban.bsky.social
X @SoleDeEsteban
Orcid: https://orcid.org/0000-0002-2049-0890
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