Package: SPARTAAS 1.2.4

SPARTAAS: Statistical Pattern Recognition and daTing using Archaeological Artefacts assemblageS

Statistical pattern recognition and dating using archaeological artefacts assemblages. Package of statistical tools for archaeology. hclustcompro(perioclust): Bellanger Lise, Coulon Arthur, Husi Philibrary(SPARTlippe (2021, ISBN:978-3-030-60103-4). mapclust: Bellanger Lise, Coulon Arthur, Husi Philippe (2021) <doi:10.1016/j.jas.2021.105431>. seriograph: Desachy Bruno (2004) <doi:10.3406/pica.2004.2396>. cerardat: Bellanger Lise, Husi Philippe (2012) <doi:10.1016/j.jas.2011.06.031>.

Authors:Arthur Coulon [aut, cre], Lise Bellanger [aut], Philippe Husi [aut], Bruno Desachy [ctb], Benjamin Martineau [ctb]

SPARTAAS_1.2.4.tar.gz
SPARTAAS_1.2.4.zip(r-4.5)SPARTAAS_1.2.4.zip(r-4.4)SPARTAAS_1.2.4.zip(r-4.3)
SPARTAAS_1.2.4.tgz(r-4.4-any)SPARTAAS_1.2.4.tgz(r-4.3-any)
SPARTAAS_1.2.4.tar.gz(r-4.5-noble)SPARTAAS_1.2.4.tar.gz(r-4.4-noble)
SPARTAAS_1.2.4.tgz(r-4.4-emscripten)SPARTAAS_1.2.4.tgz(r-4.3-emscripten)
SPARTAAS.pdf |SPARTAAS.html
SPARTAAS/json (API)

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

Peer review:

Bug tracker:https://github.com/arliph/spartaas/issues

Datasets:

On CRAN:

4.14 score 6 stars 46 scripts 152 downloads 20 exports 152 dependencies

Last updated 6 months agofrom:7db7515aeb. Checks:OK: 1 NOTE: 6. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 05 2024
R-4.5-winNOTENov 05 2024
R-4.5-linuxNOTENov 05 2024
R-4.4-winNOTENov 05 2024
R-4.4-macNOTENov 06 2024
R-4.3-winNOTENov 05 2024
R-4.3-macNOTENov 06 2024

Exports:adjacencyarrondiCAdistcerardatcerardat_appcerardat_estim_nfextract_resultshclusthclustcomprohclustcompro_apphclustcompro_select_alphahclustcompro_subdividemapclustmapclust_appmapclust_cut_treeoverlapperioclustserio_appseriographtimerange

Dependencies:abindade4apeaskpassbackportsbase64encbootbroombslibcachemcarcarDataclasscliclustercolorspacecommonmarkcowplotcpp11crayoncrosstalkcurldata.tableDEoptimRDerivdigestdiptestdoBydplyrDTellipseemmeansestimabilityevaluateexplorFactoMineRfansifarverfastclusterfastmapflashClustflexmixFNNfontawesomeforeignformatRFormulafpcfsgenericsggdendroggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvhttrisobandjquerylibjsonlitekernlabKernSmoothknitrkslabelinglaterlatticelazyevalleafletleaflet.providersleapslifecyclelme4lmtestmagrittrMASSMatrixMatrixModelsmclustmemoisemgcvmicrobenchmarkmimeminqamodelrmodeltoolsmultcompViewmulticoolmunsellmvtnormnlmenloptrnnetnor1mixnumDerivopensslpbkrtestpillarpixmappkgconfigplotlypngprabcluspracmapromisespurrrquantregR6rappdirsrasterRColorBrewerRcppRcppArmadilloRcppEigenrlangrmarkdownrobustbaserstudioapisassscalesscatterD3scatterplot3dshinyshinycssloadersshinydashboardshinyjquishinyjsshinythemesshinyWidgetssourcetoolsspSparseMstringistringrsurvivalsysterratibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunxtableyamlzoo