Bettina Grün

Address: Department of Applied Statistics
Johannes Kepler Universität Linz
Altenbergerstraße 69, 4040 Linz, Austria
Telephon: +43-732 2468-6829
Fax: +43-732 2468-6800


See a detailed list here.


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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