Package: eclust 0.1.0
eclust: Environment Based Clustering for Interpretable Predictive Models in High Dimensional Data
Companion package to the paper: An analytic approach for interpretable predictive models in high dimensional data, in the presence of interactions with exposures. Bhatnagar, Yang, Khundrakpam, Evans, Blanchette, Bouchard, Greenwood (2017) <doi:10.1101/102475>. This package includes an algorithm for clustering high dimensional data that can be affected by an environmental factor.
Authors:
eclust_0.1.0.tar.gz
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eclust_0.1.0.tgz(r-4.5-any)eclust_0.1.0.tgz(r-4.4-any)eclust_0.1.0.tgz(r-4.3-any)
eclust_0.1.0.tar.gz(r-4.5-noble)eclust_0.1.0.tar.gz(r-4.4-noble)
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eclust.pdf |eclust.html✨
eclust/json (API)
NEWS
| # Install 'eclust' in R: |
| install.packages('eclust', repos = c('https://sahirbhatnagar.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/sahirbhatnagar/eclust/issues
Last updated 8 years agofrom:b75d4275dc. Checks:1 OK, 5 NOTE, 2 ERROR. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Jan 27 2025 |
| R-4.5-win | NOTE | Jan 27 2025 |
| R-4.5-mac | NOTE | Jan 27 2025 |
| R-4.5-linux | NOTE | Jan 27 2025 |
| R-4.4-win | NOTE | Jan 27 2025 |
| R-4.4-mac | NOTE | Jan 27 2025 |
| R-4.3-win | ERROR | Jan 27 2025 |
| R-4.3-mac | ERROR | Jan 27 2025 |
Exports:r_cluster_datar_prepare_datas_generate_datas_generate_data_marss_mars_clusts_mars_separates_moduless_pen_clusts_pen_separates_responses_response_marsu_cluster_similarityu_extract_selected_earthu_extract_summaryu_fisherZ
Dependencies:AnnotationDbiaskpassbackportsbase64encBiobaseBiocGenericsBiostringsbitbit64blobbslibcachemcaretcheckmateclasscliclockclustercodetoolscolorspacecpp11crayoncurldata.tableDBIdiagramdigestdoParalleldplyrdynamicTreeCute1071evaluatefansifarverfastclusterfastmapfontawesomeforeachforeignFormulafsfuturefuture.applygenericsGenomeInfoDbGenomeInfoDbDataggplot2globalsglueGO.dbgowergridExtragtablehardhathighrHmischtmlTablehtmltoolshtmlwidgetshttrimputeipredIRangesisobanditeratorsjquerylibjsonliteKEGGRESTKernSmoothknitrlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmatrixStatsmemoisemgcvmimeModelMetricsmunsellnlmennetnumDerivopensslpacmanpanderparallellypillarpkgconfigplogrplyrpngpreprocessCorepROCprodlimprogressrproxypurrrR6rappdirsRColorBrewerRcpprecipesremotesreshape2rlangrmarkdownrpartRSQLiterstudioapiS4VectorssassscalesshapeSQUAREMstringistringrsurvivalsystibbletidyrtidyselecttimechangetimeDatetinytextzdbUCSC.utilsutf8vctrsviridisviridisLiteWGCNAwithrxfunXVectoryaml
