Package: ClustBlock 4.0.0
Fabien Llobell
ClustBlock: Clustering of Datasets
Hierarchical and partitioning algorithms to cluster blocks of variables. The partitioning algorithm includes an option called noise cluster to set aside atypical blocks of variables. The CLUSTATIS method (for quantitative blocks) (Llobell, Cariou, Vigneau, Labenne & Qannari (2020) <doi:10.1016/j.foodqual.2018.05.013>, Llobell, Vigneau & Qannari (2019) <doi:10.1016/j.foodqual.2019.02.017>) and the CLUSCATA method (for Check-All-That-Apply data) (Llobell, Cariou, Vigneau, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2018.09.006>, Llobell, Giacalone, Labenne & Qannari (2019) <doi:10.1016/j.foodqual.2019.05.017>) are the core of this package. The CATATIS methods allows to compute some indices and tests to control the quality of CATA data. Multivariate analysis and clustering of subjects for quantitative multiblock data, CATA, RATA, Free Sorting and JAR experiments are available. Clustering of rows in multi-block context (notably with ClusMB strategy) is also included.
Authors:
ClustBlock_4.0.0.tar.gz
ClustBlock_4.0.0.tar.gz(r-4.5-noble)ClustBlock_4.0.0.tar.gz(r-4.4-noble)
ClustBlock_4.0.0.tgz(r-4.4-emscripten)ClustBlock_4.0.0.tgz(r-4.3-emscripten)
ClustBlock.pdf |ClustBlock.html✨
ClustBlock/json (API)
NEWS
# Install 'ClustBlock' in R: |
install.packages('ClustBlock', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 6 months agofrom:de815ab879. Checks:OK: 2. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 19 2024 |
R-4.5-linux | OK | Nov 19 2024 |
Exports:catatiscatatis_jarcatatis_ratachange_cata_formatchange_cata_format2cluscatacluscata_jarcluscata_kmeanscluscata_kmeans_jarcluscata_rataClusMBclustatisclustatis_FreeSortclustatis_FreeSort_kmeansclustatis_kmeansclustRowsOnStatisAxesconsistency_cataconsistency_cata_panelindicesClusterspreprocess_FreeSortpreprocess_JARsimil_groups_catastatisstatis_FreeSort
Dependencies:abindbackportsbase64encbootbroombslibcachemcarcarDatacliclustercolorspacecowplotcpp11crosstalkDerivdigestdoBydplyrDTellipseemmeansestimabilityevaluateFactoMineRfansifarverfastmapflashClustfontawesomeFormulafsgenericsggplot2ggrepelgluegtablehighrhtmltoolshtmlwidgetshttpuvisobandjquerylibjsonliteknitrlabelinglaterlatticelazyevalleapslifecyclelme4magrittrMASSMatrixMatrixModelsmemoisemgcvmicrobenchmarkmimeminqamodelrmultcompViewmunsellmvtnormnlmenloptrnnetnumDerivpbkrtestpillarpkgconfigpromisespurrrquantregR6rappdirsRColorBrewerRcppRcppEigenrlangrmarkdownsassscalesscatterplot3dSparseMstringistringrsurvivaltibbletidyrtidyselecttinytexutf8vctrsviridisLitewithrxfunyaml