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.
Bettina.Gruen@wu.ac.at