Package: bayMDS 2.0

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_2.0.tar.gz
bayMDS_2.0.tar.gz(r-4.5-noble)bayMDS_2.0.tar.gz(r-4.4-noble)
bayMDS_2.0.tgz(r-4.4-emscripten)bayMDS_2.0.tgz(r-4.3-emscripten)
bayMDS.pdf |bayMDS.html✨
bayMDS/json (API)

# Install 'bayMDS' in R:
install.packages('bayMDS', repos = '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 297 downloads 9 exports 98 dependencies

Last updated 2 years agofrom:f619de671a. Checks:1 OK, 2 NOTE. Indexed: no.

TargetResultLatest binary
Doc / VignettesOKApr 01 2025
R-4.5-linux-x86_64NOTEApr 01 2025
R-4.4-linux-x86_64NOTEApr 01 2025

Exports:bayMDSAppbmdsbmdsMCMCcheckDISTdistRcppMDSICplotDelDistplotObjplotTrace

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicolorspacecommonmarkcorrplotcowplotcpp11crayonDerivdigestdoBydplyrfansifarverfastmapfontawesomeFormulafsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehmshtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynomprettyunitsprogresspromisespurrrquantregR6rappdirsrbibutilsRColorBrewerRcppRcppArmadilloRcppEigenRdpackreformulasrlangrstatixsassscalesshinyshinythemessourcetoolsSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrxtable

Citation

To cite package ‘bayMDS’ in publications use:

Oh M, Lee E (2022). bayMDS: Bayesian Multidimensional Scaling and Choice of Dimension. R package version 2.0, https://CRAN.R-project.org/package=bayMDS.

Corresponding BibTeX entry: 

  @Manual{,
    title = {bayMDS: Bayesian Multidimensional Scaling and Choice of
      Dimension},
    author = {Man-Suk Oh and Eun-Kyung Lee},
    year = {2022},
    note = {R package version 2.0},
    url = {https://CRAN.R-project.org/package=bayMDS},
  }