| Name : R-rchemo
| |
| Version : 0.1.3
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp153.1.1
| Date : 2024-09-12 11:11:07
|
| Group : Development/Libraries/Other
| Source RPM : R-rchemo-0.1.3-lp153.1.1.src.rpm
|
| Size : 5.05 MB
| |
| Packager : (none)
| |
| Summary : Dimension Reduction, Regression and Discrimination for Chemometrics
|
Description :
Data exploration and prediction with focus on high dimensional data and
chemometrics. The package was initially designed about partial least
squares regression and discrimination models and variants, in
particular locally weighted PLS models (LWPLS). Then, it has been
expanded to many other methods for analyzing high dimensional data. The
name \'rchemo\' comes from the fact that the package is orientated to
chemometrics, but most of the provided methods are fully generic to
other domains. Functions such as transform(), predict(), coef() and
summary() are available. Tuning the predictive models is facilitated by
generic functions gridscore() (validation dataset) and gridcv()
(cross-validation). Faster versions are also available for models based
on latent variables (LVs) (gridscorelv() and gridcvlv()) and ridge
regularization (gridscorelb() and gridcvlb()).
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64 |
