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 = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • cityDIST - Airline distances between cities

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

openblascpp

1.00 score 279 downloads 9 exports 95 dependencies

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

TargetResultDate
Doc / VignettesOKDec 02 2024
R-4.5-linux-x86_64NOTEDec 02 2024

Exports:bayMDSAppbmdsbmdsMCMCcheckDISTdistRcppMDSICplotDelDistplotObjplotTrace

Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDataclicolorspacecommonmarkcorrplotcowplotcpp11crayonDerivdigestdoBydplyrfansifarverfastmapfontawesomeFormulafsgenericsggplot2ggpubrggrepelggsciggsignifgluegridExtragtablehmshtmltoolshttpuvisobandjquerylibjsonlitelabelinglaterlatticelifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmunsellnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpolynomprettyunitsprogresspromisespurrrquantregR6rappdirsRColorBrewerRcppRcppArmadilloRcppEigenrlangrstatixsassscalesshinyshinythemessourcetoolsSparseMstringistringrsurvivaltibbletidyrtidyselectutf8vctrsviridisLitewithrxtable