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R-BAS rpm build for : openSUSE Tumbleweed. For other distributions click R-BAS.

Name : R-BAS
Version : 1.7.3 Vendor : obs://build_opensuse_org/devel:languages:R
Release : 1.1 Date : 2024-09-23 09:41:13
Group : Development/Libraries/Other Source RPM : R-BAS-1.7.3-1.1.src.rpm
Size : 1.30 MB
Packager : (none)
Summary : Bayesian Variable Selection and Model Averaging using Bayesian Adaptive Sampling
Description :
Package for Bayesian Variable Selection and Model Averaging in linear
models and generalized linear models using stochastic or deterministic
sampling without replacement from posterior distributions. Prior
distributions on coefficients are from Zellner\'s g-prior or mixtures of
g-priors corresponding to the Zellner-Siow Cauchy Priors or the mixture
of g-priors from Liang et al (2008) < DOI:10.1198/016214507000001337>
for linear models or mixtures of g-priors from Li and Clyde (2019)
< DOI:10.1080/01621459.2018.1469992> in generalized linear models. Other
model selection criteria include AIC, BIC and Empirical Bayes estimates
of g. Sampling probabilities may be updated based on the sampled models
using sampling w/out replacement or an efficient MCMC algorithm which
samples models using a tree structure of the model space as an
efficient hash table. See Clyde, Ghosh and Littman (2010)
< DOI:10.1198/jcgs.2010.09049> for details on the sampling algorithms.
Uniform priors over all models or beta-binomial prior distributions on
model size are allowed, and for large p truncated priors on the model
space may be used to enforce sampling models that are full rank. The
user may force variables to always be included in addition to imposing
constraints that higher order interactions are included only if their
parents are included in the model. This material is based upon work
supported by the National Science Foundation under Division of
Mathematical Sciences grant 1106891. Any opinions, findings, and
conclusions or recommendations expressed in this material are those of
the author(s) and do not necessarily reflect the views of the National
Science Foundation.

RPM found in directory: /packages/linux-pbone/ftp5.gwdg.de/pub/opensuse/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/x86_64

Content of RPM  Provides Requires

Download
ftp.icm.edu.pl  R-BAS-1.7.3-1.1.x86_64.rpm
     

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

Requires :
R-base
libR.so()(64bit)
libRblas.so()(64bit)
libRlapack.so()(64bit)
libc.so.6()(64bit)
libc.so.6(GLIBC_2.14)(64bit)
libc.so.6(GLIBC_2.2.5)(64bit)
libc.so.6(GLIBC_2.4)(64bit)
libm.so.6()(64bit)
libm.so.6(GLIBC_2.2.5)(64bit)
libm.so.6(GLIBC_2.23)(64bit)
libm.so.6(GLIBC_2.29)(64bit)
rpmlib(CompressedFileNames) <= 3.0.4-1
rpmlib(FileDigests) <= 4.6.0-1
rpmlib(PayloadFilesHavePrefix) <= 4.0-1
rpmlib(PayloadIsZstd) <= 5.4.18-1


Content of RPM :
/usr/lib64/R/library/BAS
/usr/lib64/R/library/BAS/CITATION
/usr/lib64/R/library/BAS/DESCRIPTION
/usr/lib64/R/library/BAS/INDEX
/usr/lib64/R/library/BAS/Meta
/usr/lib64/R/library/BAS/Meta/Rd.rds
/usr/lib64/R/library/BAS/Meta/data.rds
/usr/lib64/R/library/BAS/Meta/demo.rds
/usr/lib64/R/library/BAS/Meta/features.rds
/usr/lib64/R/library/BAS/Meta/hsearch.rds
/usr/lib64/R/library/BAS/Meta/links.rds
/usr/lib64/R/library/BAS/Meta/nsInfo.rds
/usr/lib64/R/library/BAS/Meta/package.rds
/usr/lib64/R/library/BAS/Meta/vignette.rds
/usr/lib64/R/library/BAS/NAMESPACE
/usr/lib64/R/library/BAS/NEWS.md
/usr/lib64/R/library/BAS/R
/usr/lib64/R/library/BAS/R/BAS
/usr/lib64/R/library/BAS/R/BAS.rdb
/usr/lib64/R/library/BAS/R/BAS.rdx
/usr/lib64/R/library/BAS/data
/usr/lib64/R/library/BAS/data/Hald.txt.gz
/usr/lib64/R/library/BAS/data/bodyfat.rda
/usr/lib64/R/library/BAS/data/climate.rda
/usr/lib64/R/library/BAS/data/protein.txt.gz
/usr/lib64/R/library/BAS/demo
/usr/lib64/R/library/BAS/demo/BAS.USCrime.R
/usr/lib64/R/library/BAS/demo/BAS.hald.R
/usr/lib64/R/library/BAS/doc
/usr/lib64/R/library/BAS/doc/BAS-vignette.R
There is 18 files more in these RPM.

 
ICM