SEARCH
NEW RPMS
DIRECTORIES
ABOUT
FAQ
VARIOUS
BLOG

 
 

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

Name : R-nlMS
Version : 1.1 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp153.2.13 Date : 2024-06-14 11:11:23
Group : Development/Libraries/Other Source RPM : R-nlMS-1.1-lp153.2.13.src.rpm
Size : 0.03 MB
Packager : (none)
Summary : Non-Linear Model Selection
Description :
Package to select best model among several linear and nonlinear models.
The main function uses the gnls() function from the \'nlme\' package to
fit the data to nine regression models, named: \"linear\", \"quadratic\",
\"cubic\", \"logistic\", \"exponential\", \"power\", \"monod\", \"haldane\",
\"logit\".

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-nlMS-1.1-lp153.2.13.x86_64.rpm
     

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

 
ICM