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R-RAFS rpm build for : OpenSuSE. For other distributions click R-RAFS.

Name : R-RAFS
Version : 0.2.4 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp156.2.1 Date : 2024-06-24 14:13:29
Group : Development/Libraries/Other Source RPM : R-RAFS-0.2.4-lp156.2.1.src.rpm
Size : 0.08 MB
Packager : https://www_suse_com/
Summary : Robust Aggregative Feature Selection
Description :
A cross-validated minimal-optimal feature selection algorithm. It
utilises popularity counting, hierarchical clustering with feature
dissimilarity measures, and prefiltering with all-relevant feature
selection method to obtain the minimal-optimal set of features.

RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.6/x86_64

Content of RPM  Provides Requires

Download
ftp.icm.edu.pl  R-RAFS-0.2.4-lp156.2.1.x86_64.rpm
     

Provides :
R-RAFS
R-RAFS(x86-64)

Requires :
R-MDFS
R-base
R-fastcluster
R-splitTools
rpmlib(CompressedFileNames) <= 3.0.4-1
rpmlib(FileDigests) <= 4.6.0-1
rpmlib(PayloadFilesHavePrefix) <= 4.0-1
rpmlib(PayloadIsXz) <= 5.2-1


Content of RPM :
/usr/lib64/R/library/RAFS
/usr/lib64/R/library/RAFS/DESCRIPTION
/usr/lib64/R/library/RAFS/INDEX
/usr/lib64/R/library/RAFS/Meta
/usr/lib64/R/library/RAFS/Meta/Rd.rds
/usr/lib64/R/library/RAFS/Meta/features.rds
/usr/lib64/R/library/RAFS/Meta/hsearch.rds
/usr/lib64/R/library/RAFS/Meta/links.rds
/usr/lib64/R/library/RAFS/Meta/nsInfo.rds
/usr/lib64/R/library/RAFS/Meta/package.rds
/usr/lib64/R/library/RAFS/NAMESPACE
/usr/lib64/R/library/RAFS/NEWS
/usr/lib64/R/library/RAFS/R
/usr/lib64/R/library/RAFS/R/RAFS
/usr/lib64/R/library/RAFS/R/RAFS.rdb
/usr/lib64/R/library/RAFS/R/RAFS.rdx
/usr/lib64/R/library/RAFS/help
/usr/lib64/R/library/RAFS/help/AnIndex
/usr/lib64/R/library/RAFS/help/RAFS.rdb
/usr/lib64/R/library/RAFS/help/RAFS.rdx
/usr/lib64/R/library/RAFS/help/aliases.rds
/usr/lib64/R/library/RAFS/help/paths.rds
/usr/lib64/R/library/RAFS/html
/usr/lib64/R/library/RAFS/html/00Index.html
/usr/lib64/R/library/RAFS/html/R.css

 
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