Package: DiscreteGapStatistic 1.1.2

DiscreteGapStatistic: An Extension of the Gap Statistic for Ordinal/Categorical Data

The gap statistic approach is extended to estimate the number of clusters for categorical response format data. This approach and accompanying software is designed to be used with the output of any clustering algorithm and with distances specifically designed for categorical (i.e. multiple choice) or ordinal survey response data.

Authors:Jeffrey Miecznikowski [aut], Eduardo Cortes [aut, cre]

DiscreteGapStatistic_1.1.2.tar.gz
DiscreteGapStatistic_1.1.2.zip(r-4.7)DiscreteGapStatistic_1.1.2.zip(r-4.6)DiscreteGapStatistic_1.1.2.zip(r-4.5)
DiscreteGapStatistic_1.1.2.tgz(r-4.6-x86_64)DiscreteGapStatistic_1.1.2.tgz(r-4.6-arm64)DiscreteGapStatistic_1.1.2.tgz(r-4.5-x86_64)DiscreteGapStatistic_1.1.2.tgz(r-4.5-arm64)
DiscreteGapStatistic_1.1.2.tar.gz(r-4.7-arm64)DiscreteGapStatistic_1.1.2.tar.gz(r-4.7-x86_64)DiscreteGapStatistic_1.1.2.tar.gz(r-4.6-arm64)DiscreteGapStatistic_1.1.2.tar.gz(r-4.6-x86_64)
DiscreteGapStatistic_1.1.2.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
DiscreteGapStatistic/json (API)

# Install 'DiscreteGapStatistic' in R:
install.packages('DiscreteGapStatistic', repos = c('https://ecortesgomez.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ecortesgomez/discretegapstatistic/issues

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

cpp

3.60 score 1 stars 4 scripts 193 downloads 14 exports 113 dependencies

Last updated from:0c05e302e0. Checks:4 WARNING, 2 OK, 7 FAIL. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64WARNING240
linux-devel-x86_64WARNING218
source / vignettesOK259
linux-release-arm64WARNING166
linux-release-x86_64WARNING184
macos-release-arm64FAIL100
macos-release-x86_64FAIL160
macos-oldrel-arm64FAIL139
macos-oldrel-x86_64FAIL243
windows-develFAIL72
windows-releaseFAIL70
windows-oldrelFAIL70
wasm-releaseOK176

Exports:BhattacharyyaDist_rcppChisqDist_rcppclusGapDiscrclusterFunSelDGSrundistanceHeatdistancematrixfindKkmodesDlikert.heat.plot2plotMDS2ResHeatmapRetrClustAssignSimData

Dependencies:abindade4apebackportsbase64encBiobaseBiocGenericsbioDistbslibcachemcheckmatecirclizecliclueclustercodetoolscolorspacecombinatComplexHeatmapcpp11crayoncultevodata.tabledigestdoParalleldplyrevaluatefarverfastmapFDfontawesomeforeachforeignFormulafsgenericsgeometryGetoptLongggplot2ggrepelGlobalOptionsgluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetsIRangesisobanditeratorsjquerylibjsonliteKernSmoothknitrlabelinglatticelifecyclelinproglpSolvemagicmagrittrMASSMatrixmatrixStatsmemoisemgcvmimenlmennetpermutepheatmappillarpixmappkgconfigplyrpngPolychromepspearmanpurrrR6rappdirsRColorBrewerRcppRcppArmadilloRcppProgressreshape2rjsonrlangrmarkdownrpartrstudioapiS4VectorsS7sassscalesscatterplot3dshapespstringistringrtibbletidyrtidyselecttinytexutf8vctrsveganviridisLitewithrxfunyaml