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

Name : R-AsyK
Version : 1.5.5 Vendor : obs://build_opensuse_org/devel:languages:R
Release : lp153.1.11 Date : 2024-06-14 11:13:42
Group : Development/Libraries/Other Source RPM : R-AsyK-1.5.5-lp153.1.11.src.rpm
Size : 0.03 MB
Packager : (none)
Summary : Kernel Density Estimation
Description :
A collection of functions related to density estimation by using Chen\'s
(2000) idea. Mean Squared Errors (MSE) are calculated for estimated
curves. For this purpose, R functions allow the distribution to be
Gamma, Exponential or Weibull. For details see Chen (2000), Scaillet
(2004) < doi:10.1080/10485250310001624819> and Khan and Akbar.

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-AsyK-1.5.5-lp153.1.11.x86_64.rpm
     

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

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

 
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