Bettina Grün: Software

I have written or co-authored the following R packages:

FlexMix: Flexible Mixture Modeling
A general framework for finite mixtures of regression models using the EM algorithm. FlexMix provides the E-step and all data handling, while the M-step can be supplied by the user to easily define new models. Existing drivers implement mixtures of standard linear models, generalized linear models, and model-based clustering.
BayesMix Bayesian Mixture Models with JAGS
arules: Mining Association Rules and Frequent Itemsets
Provides the infrastructure for representing, manipulating and analyzing transaction data and patterns (frequent itemsets and association rules). Also provides interfaces to C implementations of the association mining algorithms Apriori and Eclat by C. Borgelt.
exams: Automatic Generation of Simple (Statistical) Exams
Sweave-based automatic generation of exams with multiple-choice questions and arithmetic problems.
topicmodels: Topic models
Provides an interface to the C code for Latent Dirichlet Allocation (LDA) models and Correlated Topics Models (CTM) by David M. Blei and the C++ code for fitting LDA models using Gibbs sampling by Xuan-Hieu Phan.