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R-dummy rpm build for : openSUSE Leap 15. For other distributions click R-dummy.

Name : R-dummy
Version : 0.1.3 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp153.2.13 Date : 2024-06-14 11:06:10
Group : Development/Libraries/Other Source RPM : R-dummy-0.1.3-lp153.2.13.src.rpm
Size : 0.02 MB
Packager : (none)
Summary : Automatic Creation of Dummies with Support for Predictive Modeling
Description :
Efficiently create dummies of all factors and character vectors in a
data frame. Support is included for learning the categories on one data
set (e.g., a training set) and deploying them on another (e.g., a test
set).

RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Leap_15.3/x86_64

Content of RPM  Provides Requires

Download
ftp.icm.edu.pl  R-dummy-0.1.3-lp153.2.13.x86_64.rpm
     

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

Requires :
R-base
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/dummy
/usr/lib64/R/library/dummy/DESCRIPTION
/usr/lib64/R/library/dummy/INDEX
/usr/lib64/R/library/dummy/Meta
/usr/lib64/R/library/dummy/Meta/Rd.rds
/usr/lib64/R/library/dummy/Meta/features.rds
/usr/lib64/R/library/dummy/Meta/hsearch.rds
/usr/lib64/R/library/dummy/Meta/links.rds
/usr/lib64/R/library/dummy/Meta/nsInfo.rds
/usr/lib64/R/library/dummy/Meta/package.rds
/usr/lib64/R/library/dummy/NAMESPACE
/usr/lib64/R/library/dummy/NEWS
/usr/lib64/R/library/dummy/R
/usr/lib64/R/library/dummy/R/dummy
/usr/lib64/R/library/dummy/R/dummy.rdb
/usr/lib64/R/library/dummy/R/dummy.rdx
/usr/lib64/R/library/dummy/help
/usr/lib64/R/library/dummy/help/AnIndex
/usr/lib64/R/library/dummy/help/aliases.rds
/usr/lib64/R/library/dummy/help/dummy.rdb
/usr/lib64/R/library/dummy/help/dummy.rdx
/usr/lib64/R/library/dummy/help/paths.rds
/usr/lib64/R/library/dummy/html
/usr/lib64/R/library/dummy/html/00Index.html
/usr/lib64/R/library/dummy/html/R.css

 
ICM