Package: bayMDS 2.1

Man-Suk Oh

bayMDS: Bayesian Multidimensional Scaling and Choice of Dimension

Bayesian approach to multidimensional scaling. The package consists of implementations of the methods of Oh and Raftery (2001) <doi:10.1198/016214501753208690>.

Authors:Man-Suk Oh [aut, cre], Eun-Kyung Lee [aut]

bayMDS_2.1.tar.gz
bayMDS_2.1.tar.gz(r-4.7-arm64)bayMDS_2.1.tar.gz(r-4.7-x86_64)bayMDS_2.1.tar.gz(r-4.6-arm64)bayMDS_2.1.tar.gz(r-4.6-x86_64)
bayMDS_2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
bayMDS/json (API)

# Install 'bayMDS' in R:
install.packages('bayMDS', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • cityDIST - Airline distances between cities

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

1.00 score 300 downloads 9 exports 104 dependencies

Last updated from:400342e4b5. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK137
linux-devel-x86_64OK151
source / vignettesOK199
linux-release-arm64OK146
linux-release-x86_64OK152
wasm-releaseOK130

Exports:bayMDSAppbmdsbmdsMCMCcheckDISTdistRcppMDSICplotDelDistplotObjplotTrace

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicolorspacecommonmarkcorrplotcowplotcpp11crayonDerivdigestdoBydplyrfarverfastmapfontawesomeforecastFormulafracdifffsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehmshtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrnlmenloptrnnetnumDerivotelpbkrtestpillarpkgconfigpolynomprettyunitsprogresspromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixS7sassscalesshinyshinythemessourcetoolsSparseMstringistringrsurvivaltibbletidyrtidyselecttimeDateurcautf8vctrsviridisLitewithrxtablezoo