1. robustbase - Basic Robust Statistics - R package for "Essential" Robust Statistics: Tools for data analysis with robust methods; incl. regression & multivariate stats; targeting to cover "Robust Statistics, Theory and Methods" by Maronna, Martin and Yohai; 2006.
Development Status: 5 - Production/Stable [Filter]
2. RobASt - Robust Asymptotic Statistics - The project RobASt aims for the implementation of R packages for the computation of optimally robust estimators and tests as well as the necessary infrastructure (mainly S4 classes and methods) and diagnostics; cf. M. Kohl (2005).
3. Hierarchical Generalized Linear Models - The aim of the project is to develop the hglm package which implements the estimation algorithm for hierarchical generalized linear models (HGLM) based on h-likelihood theory.
4. zipfR - modelling type-token statistics - The zipfR package implements "Large Number of Rare Events" (LNRE) models for type-token statistics on word frequencies and other type-rich distributions (e.g. extrapolation of vocabulary growth, or frequency estimates for rare events).
Development Status: 5 - Production/Stable [Filter]
Development Status
