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

Name : R-MAKL
Version : 1.0.1 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp154.1.1 Date : 2022-07-07 11:01:08
Group : Development/Libraries/Other Source RPM : R-MAKL-1.0.1-lp154.1.1.src.rpm
Size : 0.05 MB
Packager : https://www_suse_com/
Summary : Multiple Approximate Kernel Learning (MAKL)
Description :
R package associated with the Multiple Approximate Kernel Learning
(MAKL) algorithm proposed in < doi:10.1093/bioinformatics/btac241>. The
algorithm fits multiple approximate kernel learning (MAKL) models that
are fast, scalable and interpretable.

RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/15.4/x86_64

Content of RPM  Provides Requires

Download
ftp.icm.edu.pl  R-MAKL-1.0.1-lp154.1.1.x86_64.rpm
     

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

Requires :
R-AUC
R-base
R-grplasso
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/MAKL
/usr/lib64/R/library/MAKL/DESCRIPTION
/usr/lib64/R/library/MAKL/INDEX
/usr/lib64/R/library/MAKL/Meta
/usr/lib64/R/library/MAKL/Meta/Rd.rds
/usr/lib64/R/library/MAKL/Meta/features.rds
/usr/lib64/R/library/MAKL/Meta/hsearch.rds
/usr/lib64/R/library/MAKL/Meta/links.rds
/usr/lib64/R/library/MAKL/Meta/nsInfo.rds
/usr/lib64/R/library/MAKL/Meta/package.rds
/usr/lib64/R/library/MAKL/Meta/vignette.rds
/usr/lib64/R/library/MAKL/NAMESPACE
/usr/lib64/R/library/MAKL/R
/usr/lib64/R/library/MAKL/R/MAKL
/usr/lib64/R/library/MAKL/R/MAKL.rdb
/usr/lib64/R/library/MAKL/R/MAKL.rdx
/usr/lib64/R/library/MAKL/doc
/usr/lib64/R/library/MAKL/doc/index.html
/usr/lib64/R/library/MAKL/doc/makl_example.R
/usr/lib64/R/library/MAKL/doc/makl_example.Rmd
/usr/lib64/R/library/MAKL/doc/makl_example.html
/usr/lib64/R/library/MAKL/help
/usr/lib64/R/library/MAKL/help/AnIndex
/usr/lib64/R/library/MAKL/help/MAKL.rdb
/usr/lib64/R/library/MAKL/help/MAKL.rdx
/usr/lib64/R/library/MAKL/help/aliases.rds
/usr/lib64/R/library/MAKL/help/paths.rds
/usr/lib64/R/library/MAKL/html
/usr/lib64/R/library/MAKL/html/00Index.html
/usr/lib64/R/library/MAKL/html/R.css

 
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