| Name : R-msma
| |
| Version : 3.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.4
| Date : 2024-06-14 11:10:27
|
| Group : Development/Libraries/Other
| Source RPM : R-msma-3.1-lp153.1.4.src.rpm
|
| Size : 1.73 MB
| |
| Packager : (none)
| |
| Summary : Multiblock Sparse Multivariable Analysis
|
Description :
Several functions can be used to analyze multiblock multivariable data.
If the input is a single matrix, then principal components analysis
(PCA) is implemented. If the input is a list of matrices, then
multiblock PCA is implemented. If the input is two matrices, for
exploratory and objective variables, then partial least squares (PLS)
analysis is implemented. If the input is two lists of matrices, for
exploratory and objective variables, then multiblock PLS analysis is
implemented. Additionally, if an extra outcome variable is specified,
then a supervised version of the methods above is implemented. For each
method, sparse modeling is also incorporated. Functions for selecting
the number of components and regularized parameters are also provided.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
