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

Name : R-lbm
Version : 0.9.0.2 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp153.1.11 Date : 2024-06-14 11:09:51
Group : Development/Libraries/Other Source RPM : R-lbm-0.9.0.2-lp153.1.11.src.rpm
Size : 0.07 MB
Packager : (none)
Summary : Log Binomial Regression Model in Exact Method
Description :
Fit the log binomial regression model (LBM) by Exact method. Limited
parameter space of LBM causes trouble to find admissible estimates and
fail to converge when MLE is close to or on the boundary of space.
Exact method utilizes the property of boundary vectors to
re-parametrize the model without losing any information, and fits the
model on the standard fitting algorithm with no convergence issues.

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-lbm-0.9.0.2-lp153.1.11.x86_64.rpm
     

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

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

 
ICM