| Name : R-pfica
| |
| Version : 0.1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.3.4
| Date : 2024-06-14 12:10:16
|
| Group : Development/Libraries/Other
| Source RPM : R-pfica-0.1.3-lp153.3.4.src.rpm
|
| Size : 0.05 MB
| |
| Packager : (none)
| |
| Summary : Independent Components Analysis Techniques for Functional Data
|
Description :
Performs smoothed (and non-smoothed) principal/independent components
analysis of functional data. Various functional pre-whitening
approaches are implemented as discussed in Vidal and Aguilera (2022)
“Novel whitening approaches in functional settings\",
< doi:10.1002/sta4.516>. Further whitening representations of functional
data can be derived in terms of a few principal components, providing
an avenue to explore hidden structures in low dimensional settings: see
Vidal, Rosso and Aguilera (2021) “Bi-smoothed functional independent
component analysis for EEG artifact removal”,
< doi:10.3390/math9111243>.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
