FOR-009 Tilastollinen mallintaminen R-ohjelmistolla  (5 op)

    • Period IV, the course is lectured every second year odd years in turn with course FOR-008.
    • Esitiedot: Basics of statistics and basic skills of R at the level of FOR-006 R Basic Course or similar.


After completing the course, the student is able to do statistical modelling with the R software. The student is able to perform the statistical modelling by using generalized linear models and generalized linear mixed models. After completing the course, the student has ability to perform multilevel hierarchical modelling with R software.


R software, linear models, linear mixed models, Beta and Gamma regression, Poisson log-linear models, logistic regression analysis, generalized linear mixed models.


Lecture notes and R manuals are made available at the Moodle learning environment.

Additional reading:

Faraway (2006). Extending the linear model with R: generalized linear, mixed effects, and nonparametric regression models. Chapman & Hall.

Agresti (2015). Foundations of linear and generalized linear models. John Wiley & Sons.


The course is completed by following the online education and solving the weekly assignments. 21 hours online lectures, 9 hours assignments, and 105 hours self-studying.

Arviointimenetelmät ja -kriteerit

Evaluation on scale 0-5. Rating is based on the weekly assignments.


University Lecturer Teppo Mattsson.


Teaching in English.

Linkki ilmoittautumiseen