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

Name : R-lsl
Version : 0.5.6 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp154.17.1 Date : 2024-06-07 22:38:55
Group : Development/Libraries/Other Source RPM : R-lsl-0.5.6-lp154.17.1.src.rpm
Size : 0.16 MB
Packager : https://www_suse_com/
Summary : Latent Structure Learning
Description :
Fits structural equation modeling via penalized likelihood.

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-lsl-0.5.6-lp154.17.1.x86_64.rpm
     

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

Requires :
R-R6
R-RColorBrewer
R-Rcpp
R-base
R-cli
R-colorspace
R-fansi
R-farver
R-ggplot2
R-glue
R-gtable
R-isoband
R-labeling
R-lavaan
R-lifecycle
R-magrittr
R-mnormt
R-munsell
R-numDeriv
R-pbivnorm
R-pillar
R-pkgconfig
R-plyr
R-quadprog
R-reshape2
R-rlang
R-scales
R-stringi
R-stringr
R-tibble
R-utf8
R-vctrs
R-viridisLite
R-withr
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/lsl
/usr/lib64/R/library/lsl/DESCRIPTION
/usr/lib64/R/library/lsl/INDEX
/usr/lib64/R/library/lsl/Meta
/usr/lib64/R/library/lsl/Meta/Rd.rds
/usr/lib64/R/library/lsl/Meta/features.rds
/usr/lib64/R/library/lsl/Meta/hsearch.rds
/usr/lib64/R/library/lsl/Meta/links.rds
/usr/lib64/R/library/lsl/Meta/nsInfo.rds
/usr/lib64/R/library/lsl/Meta/package.rds
/usr/lib64/R/library/lsl/NAMESPACE
/usr/lib64/R/library/lsl/R
/usr/lib64/R/library/lsl/R/lsl
/usr/lib64/R/library/lsl/R/lsl.rdb
/usr/lib64/R/library/lsl/R/lsl.rdx
/usr/lib64/R/library/lsl/help
/usr/lib64/R/library/lsl/help/AnIndex
/usr/lib64/R/library/lsl/help/aliases.rds
/usr/lib64/R/library/lsl/help/lsl.rdb
/usr/lib64/R/library/lsl/help/lsl.rdx
/usr/lib64/R/library/lsl/help/paths.rds
/usr/lib64/R/library/lsl/html
/usr/lib64/R/library/lsl/html/00Index.html
/usr/lib64/R/library/lsl/html/R.css

 
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