| Name : R-bestNormalize
| |
| Version : 1.9.1
| Vendor : obs://build_opensuse_org/devel:languages:R
|
| Release : lp155.4.1
| Date : 2024-07-04 12:46:52
|
| Group : Development/Libraries/Other
| Source RPM : R-bestNormalize-1.9.1-lp155.4.1.src.rpm
|
| Size : 1.60 MB
| |
| Packager : https://www_suse_com/
| |
| Summary : Normalizing Transformation Functions
|
Description :
Estimate a suite of normalizing transformations, including a new
adaptation of a technique based on ranks which can guarantee normally
distributed transformed data if there are no ties: ordered quantile
normalization (ORQ). ORQ normalization combines a rank-mapping approach
with a shifted logit approximation that allows the transformation to
work on data outside the original domain. It is also able to handle new
data within the original domain via linear interpolation. The package
is built to estimate the best normalizing transformation for a vector
consistently and accurately. It implements the Box-Cox transformation,
the Yeo-Johnson transformation, three types of Lambert WxF
transformations, and the ordered quantile normalization transformation.
It estimates the normalization efficacy of other commonly used
transformations, and it allows users to specify custom transformations
or normalization statistics. Finally, functionality can be integrated
into a machine learning workflow via recipes.
|
RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.5/x86_64 |
