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

Name : R-AppliedPredictiveModeling
Version : 1.1_6 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp153.1.23 Date : 2024-06-14 10:53:20
Group : Development/Libraries/Other Source RPM : R-AppliedPredictiveModeling-1.1_6-lp153.1.23.src.rpm
Size : 1.86 MB
Packager : (none)
Summary : Functions and Data Sets for \'Applied Predictive Modeling\'
Description :
A few functions and several data set for the Springer book \'Applied
Predictive Modeling\'

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

Content of RPM  Changelog  Provides Requires

Download
ftp.icm.edu.pl  R-AppliedPredictiveModeling-1.1_6-lp153.1.23.x86_64.rpm
     

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

Requires :
R-CORElearn
R-base
R-plyr
R-reshape2
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/AppliedPredictiveModeling
/usr/lib64/R/library/AppliedPredictiveModeling/DESCRIPTION
/usr/lib64/R/library/AppliedPredictiveModeling/INDEX
/usr/lib64/R/library/AppliedPredictiveModeling/Meta
/usr/lib64/R/library/AppliedPredictiveModeling/Meta/Rd.rds
/usr/lib64/R/library/AppliedPredictiveModeling/Meta/data.rds
/usr/lib64/R/library/AppliedPredictiveModeling/Meta/features.rds
/usr/lib64/R/library/AppliedPredictiveModeling/Meta/hsearch.rds
/usr/lib64/R/library/AppliedPredictiveModeling/Meta/links.rds
/usr/lib64/R/library/AppliedPredictiveModeling/Meta/nsInfo.rds
/usr/lib64/R/library/AppliedPredictiveModeling/Meta/package.rds
/usr/lib64/R/library/AppliedPredictiveModeling/NAMESPACE
/usr/lib64/R/library/AppliedPredictiveModeling/NEWS.Rd
/usr/lib64/R/library/AppliedPredictiveModeling/R
/usr/lib64/R/library/AppliedPredictiveModeling/R/AppliedPredictiveModeling
/usr/lib64/R/library/AppliedPredictiveModeling/R/AppliedPredictiveModeling.rdb
/usr/lib64/R/library/AppliedPredictiveModeling/R/AppliedPredictiveModeling.rdx
/usr/lib64/R/library/AppliedPredictiveModeling/chapters
/usr/lib64/R/library/AppliedPredictiveModeling/chapters/02_A_Short_Tour.R
/usr/lib64/R/library/AppliedPredictiveModeling/chapters/02_A_Short_Tour.Rout
/usr/lib64/R/library/AppliedPredictiveModeling/chapters/03_Data_Pre_Processing.R
/usr/lib64/R/library/AppliedPredictiveModeling/chapters/03_Data_Pre_Processing.Rout
/usr/lib64/R/library/AppliedPredictiveModeling/chapters/04_Over_Fitting.R
/usr/lib64/R/library/AppliedPredictiveModeling/chapters/04_Over_Fitting.Rout
/usr/lib64/R/library/AppliedPredictiveModeling/chapters/06_Linear_Regression.R
/usr/lib64/R/library/AppliedPredictiveModeling/chapters/06_Linear_Regression.Rout
/usr/lib64/R/library/AppliedPredictiveModeling/chapters/07_Non-Linear_Reg.R
/usr/lib64/R/library/AppliedPredictiveModeling/chapters/07_Non-Linear_Reg.Rout
/usr/lib64/R/library/AppliedPredictiveModeling/chapters/08_Regression_Trees.R
/usr/lib64/R/library/AppliedPredictiveModeling/chapters/08_Regression_Trees.Rout
There is 43 files more in these RPM.

 
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