The workshop material (notes, slides, data sets and exercise) are available at shariq-mohammed.github.io/teaching/cbsa2019.
Prerequisites: Familiarity with R is required (including working with data frames, installing/using packages, importing data, and saving results).
Install the following packages
| Packages | Packages | Packages |
|---|---|---|
| survival | survminer | Hmisc |
| ggplot2 | reshape2 | corrplot |
| mgcv | rpart | rpart.plot |
| rsample | randomForest | ranger |
| caret | gcdnet | SuperLearner |
| glmnet | BMA | FactoMineR |
| randomForestSRC | ggRandomForests | BiocManager |
install.packages("BMA")