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

Name : R-BAYSTAR
Version : 0.2.10 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp153.1.9 Date : 2024-06-14 11:13:45
Group : Development/Libraries/Other Source RPM : R-BAYSTAR-0.2.10-lp153.1.9.src.rpm
Size : 0.07 MB
Packager : (none)
Summary : On Bayesian Analysis of Threshold Autoregressive Models
Description :
Fit two-regime threshold autoregressive (TAR) models by Markov chain
Monte Carlo methods.

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-BAYSTAR-0.2.10-lp153.1.9.x86_64.rpm
     

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

Requires :
R-base
R-coda
R-mvtnorm
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/BAYSTAR
/usr/lib64/R/library/BAYSTAR/DESCRIPTION
/usr/lib64/R/library/BAYSTAR/INDEX
/usr/lib64/R/library/BAYSTAR/Meta
/usr/lib64/R/library/BAYSTAR/Meta/Rd.rds
/usr/lib64/R/library/BAYSTAR/Meta/data.rds
/usr/lib64/R/library/BAYSTAR/Meta/features.rds
/usr/lib64/R/library/BAYSTAR/Meta/hsearch.rds
/usr/lib64/R/library/BAYSTAR/Meta/links.rds
/usr/lib64/R/library/BAYSTAR/Meta/nsInfo.rds
/usr/lib64/R/library/BAYSTAR/Meta/package.rds
/usr/lib64/R/library/BAYSTAR/NAMESPACE
/usr/lib64/R/library/BAYSTAR/R
/usr/lib64/R/library/BAYSTAR/R/BAYSTAR
/usr/lib64/R/library/BAYSTAR/R/BAYSTAR.rdb
/usr/lib64/R/library/BAYSTAR/R/BAYSTAR.rdx
/usr/lib64/R/library/BAYSTAR/data
/usr/lib64/R/library/BAYSTAR/data/unemployrate.rda
/usr/lib64/R/library/BAYSTAR/help
/usr/lib64/R/library/BAYSTAR/help/AnIndex
/usr/lib64/R/library/BAYSTAR/help/BAYSTAR.rdb
/usr/lib64/R/library/BAYSTAR/help/BAYSTAR.rdx
/usr/lib64/R/library/BAYSTAR/help/aliases.rds
/usr/lib64/R/library/BAYSTAR/help/paths.rds
/usr/lib64/R/library/BAYSTAR/html
/usr/lib64/R/library/BAYSTAR/html/00Index.html
/usr/lib64/R/library/BAYSTAR/html/R.css

 
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