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.
• 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.
• 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.
• movMF: Mixtures of von Mises-Fisher Distributions
  Provides functionality to fit and simulate mixtures of von Mises-Fisher distributions.
• betareg: Beta regression for modeling beta-distributed dependent variables, e.g., rates and proportions. In addition to maximum likelihood regression (for both mean and precision of a beta-distributed response), bias-corrected and bias-reduced estimation as well as finite mixture models and recursive partitioning for beta regressions are provided.

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Bettina.Gruen@wu.ac.at