Computing in STK4080 autumn 2019
We will use the the programming language R for the practical computing in the lectures as well as the exercises in STK4080. Below are given:
- information on some R packages that will be used in the course
- information on some of the data sets that will be used for illustration in the lectures and the exercises
- R code for lectures and exercises
The package "mstate" may be used to estimate transition probabilites in competing risks and Markov chain models. A description of the package is given in a paper by de Wreede et al. in the Journal of Statistical Software.
The package "parfm" may be used to fit parametric frailty models. A description of the package is given in a paper by Munda et al. in the Journal of Statistical Software.
R code used in the lectures
Week 37: Commands for computing Nelson-Aalen estimates are given here (with the leukemia data as example)
Week 38: Commands for computing Kaplan-Meier estimates (using leukemia data)are given here . Commands for simulating and analysing competing risks data will be posted.
R code used in the exercises