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Online courses with on-demand videos
1. Introduction to R using a protocol for conducting and presenting results of regression-type analyses
2. Data Exploration, Regression, GLM & GAM with introduction to R
3. Introduction to Linear Mixed Effects Models and GLMM with R (frequentist)
4. Introduction to GAM using frequentist tools
5. Introduction to Zero-Inflated GLMs and GLMMs using frequentist tools
6. Introduction to GLLVM. With spatial and temporal dependency.
7. Time Series Analysis. GAMs, random walks, and hierarchical time series in inlabru
8. GLMs and GAMs with Spatial, or Spatial-Temporal Correlation using inlabru
9. Zero-inflated GAMs and GAMMs for the analysis of spatial and spatial-temporal correlated data using R-INLA
10. Regression models with spatial or spatial-temporal correlation using R-INLA (discontinued)
11: Time series analysis using regression techniques (discontinued)
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