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