# Program 2016

### Introduction to R

Courses of this category are aimed at R beginners who have basic knowledge in statistics. They provide an introduction to the application of R in an understandable and practically oriented manner.

**Introduction to R**: February 18-19 and September 15-16

### Special: Introduction to R for the Life Sciences - An R4All Course Series

Courses of this category are aimed at R beginners particularly from the life sciences. They provide an introduction to the application of R in an understandable and practically oriented manner and are specifically tailored to the needs and prerequisites of the life sciences.

**R4All: An introduction to the basics of R**: March 31 - April 1

**R4All: Building on the basics of R**: September 8-9

### Statistical data analysis with R

Courses of this category are aimed at users who have basic knowledge in statistics and have used R before. They cover a general introduction as well as the practical application of particular statistical methods in R, e.g.:

- mixed (hierarchical) models with R
- structural equation models with R
- machine learning methods with R

**Generalised Additive Models**: January 28-29

**Introduction to Bayesian modelling with JAGS**: April 28-29

**Bayesian Statistics with R-INLA**: May 12-13

**Meta-Analysis**: May 26-27

**Graphical Models and Bayesian Networks with R**: November 3-4

### Programming with R

Courses of this category are aimed at advanced R users and provide special knowledge, ranging from basic programming commands to building your own R packages.

**R programming**: October 20-21