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R-biglm rpm build for : Fedora 18. For other distributions click R-biglm.

Name : R-biglm
Version : 0.8 Vendor : Fedora Project
Release : 5.fc18 Date : 2013-04-22 19:57:54
Group : Applications/Productivity Source RPM : R-biglm-0.8-5.fc18.src.rpm
Size : 0.06 MB
Packager : Fedora Project
Summary : bounded memory linear and generalized linear models
Description :
Regression for data too large to fit in memory.

RPM found in directory: /packages/linux-pbone/archive.fedoraproject.org/fedora/linux/updates/18/x86_64

Content of RPM  Changelog  Provides Requires

Download
ftp.icm.edu.pl  R-biglm-0.8-5.fc18.x86_64.rpm
     

Provides :
R-biglm
R-biglm(x86-64)
biglm.so()(64bit)

Requires :
libc.so.6()(64bit)
libquadmath.so.0()(64bit)
libc.so.6(GLIBC_2.2.5)(64bit)
rtld(GNU_HASH)
libgfortran.so.3()(64bit)
rpmlib(PayloadFilesHavePrefix) <= 4.0-1
libR.so()(64bit)
R-RODBC
libm.so.6(GLIBC_2.2.5)(64bit)
rpmlib(CompressedFileNames) <= 3.0.4-1
rpmlib(FileDigests) <= 4.6.0-1
R-core => 3.0.0
libm.so.6()(64bit)
R-RSQLite
rpmlib(PayloadIsXz) <= 5.2-1
R-DBI


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

 
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