Package: adamethods 1.2.1
Guillermo Vinue
adamethods: Archetypoid Algorithms and Anomaly Detection
Collection of several algorithms to obtain archetypoids with small and large databases, and with both classical multivariate data and functional data (univariate and multivariate). Some of these algorithms also allow to detect anomalies (outliers). Please see Vinue and Epifanio (2020) <doi:10.1007/s11634-020-00412-9>.
Authors:
adamethods_1.2.1.tar.gz
adamethods_1.2.1.tar.gz(r-4.5-noble)adamethods_1.2.1.tar.gz(r-4.4-noble)
adamethods_1.2.1.tgz(r-4.4-emscripten)adamethods_1.2.1.tgz(r-4.3-emscripten)
adamethods.pdf |adamethods.html✨
adamethods/json (API)
NEWS
| # Install 'adamethods' in R: |
| install.packages('adamethods', repos = '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 5 years agofrom:a25137b742. Checks:3 OK. Indexed: yes.
| Target | Result | Latest binary |
|---|---|---|
| Doc / Vignettes | OK | Mar 23 2025 |
| R-4.5-linux | OK | Mar 23 2025 |
| R-4.4-linux | OK | Mar 23 2025 |
Exports:adalaraadalara_no_paralarchetypoids_functarchetypoids_funct_multivarchetypoids_funct_multiv_robustarchetypoids_funct_robustarchetypoids_norm_frobarchetypoids_robustbisquare_functiondo_adado_ada_robustdo_alphas_rssdo_alphas_rss_multivdo_cleando_clean_multivdo_fadado_fada_multivdo_fada_multiv_robustdo_fada_robustdo_knnodo_outl_degreefadalarafadalara_no_paralframe_in_rfrobenius_normfrobenius_norm_functfrobenius_norm_funct_multivfrobenius_norm_funct_multiv_robustfrobenius_norm_funct_robustfrobenius_norm_robustint_prod_matint_prod_mat_functint_prod_mat_sqint_prod_mat_sq_functoutl_tolerstepArchetypesRawData_functstepArchetypesRawData_funct_multivstepArchetypesRawData_funct_multiv_robuststepArchetypesRawData_funct_robuststepArchetypesRawData_norm_frobstepArchetypesRawData_robust
Dependencies:abindadditivityTestsAnthropometryarchetypesaskpassbackportsbase64encBHbiclustbslibcachemcheckmateclasscliclustercodetoolscolorspacecpp11crosstalkcurldata.tableddalphaDEoptimRdigestdplyrevaluatefansifarverfastclusterfastmapflexclustFNNfontawesomeforeachforeignFormulafsgenericsgeometryggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetshttrICGEisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelinproglpSolvemagicmagrittrMASSMatrixmemoisemgcvmimeminpack.lmmodeltoolsmunsellnlmennetnnlsopensslpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcppRcppProgressrglrlangrmarkdownrobustbaserpartrstudioapisassscalesscatterplot3dsfsmiscshapesstringistringrsystibbletidyrtidyselecttinytextoleranceunivOutlutf8vctrsviridisviridisLitewithrxfunyaml
Citation
To cite package ‘adamethods’ in publications use:
Vinue G, Epifanio I (2020). adamethods: Archetypoid Algorithms and Anomaly Detection. R package version 1.2.1, https://CRAN.R-project.org/package=adamethods.
ATTENTION: This citation information has been auto-generated from the package DESCRIPTION file and may need manual editing, see ‘help("citation")’.
Corresponding BibTeX entry:
@Manual{,
title = {adamethods: Archetypoid Algorithms and Anomaly Detection},
author = {Guillermo Vinue and Irene Epifanio},
year = {2020},
note = {R package version 1.2.1},
url = {https://CRAN.R-project.org/package=adamethods},
}