| Name : R-nsdr
| |
| Version : 0.1.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.12
| Date : 2024-06-14 11:11:10
|
| Group : Development/Libraries/Other
| Source RPM : R-nsdr-0.1.1-lp153.1.12.src.rpm
|
| Size : 0.26 MB
| |
| Packager : (none)
| |
| Summary : Nonlinear Sufficient Dimension Reduction
|
Description :
Provides tools to implement both unsupervised and supervised nonlinear
dimension reduction methods. Principal Component Analysis (PCA), Sliced
Inverse Regression (SIR), and Sliced Average Variance Estimation (SAVE)
are useful methods to reduce the dimensionality of covariates. However,
they produce linear combinations of covariates. Kernel PCA, generalized
SIR, and generalized SAVE address this problem by extending the
applicability of the dimension reduction problem to nonlinear settings.
This package includes a comprehensive algorithm for kernel PCA,
generalized SIR, and generalized SAVE, including methods for choosing
tuning parameters and some essential functions.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
