Software

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)