Our research group is involved in the development of many R packages:
- (Tandem Clustering with Invariant Coordinate Selection)
- (Blind source separation for multivariate spatio-temporal data)
- (Stationary subspace analysis)
- (M-Estimation of Shape for Data with Missing Values)
- (Whitening Data as Preparation for Blind Source Separation)
- (Kernel Independent Component Analysis)
- (‘REPPlab’ Via a Shiny Application.)
- (Blind Source Separation for Multivariate Spatial Data)
- (ICS via a Shiny Application)
- (Outlier Detection Using Invariant Coordinate Selection)
- (Estimating and Testing the Number of Interesting Components in Linear Dimension Reduction)
- (Blind Source Separation Methods for Tensor-Valued Observations)
- (Tools for Blind Source Separation for Time Series)
- (Asymptotic Covariance Matrices of Some BSS Mixing and Unmixing Matrix Estimates)
- (Classical, Reloaded and Adaptive FastICA Algorithms)
- (Blind Source Separation Methods Based on Joint Diagonalization and Some BSS Performance Criteria)
- (Fast Computation of Multivariate M-estimators)
- (Tools for Linear Dimension Reduction)
- (R Interface to ‘EPP-Lab’, a Java Program for Exploratory Projection Pursuit)
- (Multivariate Methods Based on the Oja Median and Related Concepts)
- (Multivariate Nonparametric Methods. An Approach Based on Spatial Signs and Ranks)
- (Multivariate nonparametric methods based on spatial signs and ranks)
- (Tools for Multivariate Nonparametrics)
- (Tools for Exploring Multivariate Data via ICS/ICA)