"Statistical Models with R" Course
March 27 and 28, 2014
This two-day course shows a wide variety of statistical models with R ranging from Linear Models (LM) to Generalized Linear Models (GLM) modelling, in order to provide a broad overview of statistical linear models with R.
The course will follow a step-by-step approach from simplest to more complex models to illustrate the R capabilities on modeling. Some theoretical introductions are given in course materials.
Brief introductions to modeling with Mixed Effects, GAM, Neural Networks and Trees are also provided.
Who should attend this course
Anyone who is already using R and wants to get an overview of statistical models with R. Some background in theoretical statistics and probability is required.
The one day introductory course "Introduction to R" can be attended on October 23 for a review about base R.
- Classical Linear Models
- Simple Linear Regression
- Polynomial Regression
- Multiple Regression
- More Complex Models
- Generalized Linear Models
- Logistic Regression
- Poisson Dep. Var. Regression
- Gamma Dep. Var. Regression
- Quasi-likelihood Regression
- Check of models assumptions
- Brief outlines of
- Generalized Additive Models (GAM)
- Mixed Models
- Neural Networks
- Tree-based Modelling
Hotel Michelangelo; Via Scarlatti, 33; Milano (near Central Railway Station)
Course will be held in Italian. Course material will be in English.
Please visit www.quantide.com
March 27 and 28, 2014 from 9.00 to 17.30.
The course material will be provided during the course.
Information and bookings: email@example.com