Tools for Exploring Multivariate Data via ICS/ICA
Implements the two scatter matrices transformation to obtain an invariant coordinate sytem or independent components, depending on the underlying assumptions.
The result of the transformation is an object of the S4 class
ics which is provided by this package.
Besides generic functions to create and work with an
ics object the package contains also some scatter matrices.
|License:||GPL (>= 2)|
Some multivariate tests and estimates are not affine equivariant by nature. A possible remedy for the lack of that property is to transform the data points to an invariant coordinate system,
construct tests and estimates from the transformed data, and if needed, retransform the estimates back. The use of two different
scatter matrices to obtain invariant coordinates is implemeted in this package by the function
ics. For an invariant coordinate selection no
assumptions are made about the data or the scatter matrices and it can be seen as a data transformation method. If the data come, however, from a so called independent component model
ics function can recover the independent components and estimate the mixing matrix under general assumptions.
ics2 is an augmented version of
ics which takes also two location vectors into consideration to obtain natural centers
and skewness measures for the invariance coordinates.
Besides the functions
ics2, which create S4 object of classes
ics2, provides this package tools to work with objects of these classes and some
scatter matrices which can be used in the
ics2 functions. Furthermore, there are also two tests for multinormality.
Klaus Nordhausen, Hannu Oja and David E. Tyler
Maintainer: Klaus Nordhausen, firstname.lastname@example.org
Want to suggest features or report bugs for rdrr.io? Use the GitHub issue tracker.