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:Guillermo Vinue, Irene Epifanio

adamethods_1.2.1.tar.gz
adamethods_1.2.1.tar.gz(r-4.7-any)adamethods_1.2.1.tar.gz(r-4.6-any)
adamethods_1.2.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
adamethods/json (API)
NEWS

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

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.69 score 49 scripts 315 downloads 41 exports 109 dependencies

Last updated from:a25137b742. Checks:4 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK213
source / vignettesOK210
linux-release-x86_64OK223
wasm-releaseOK219

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:abindAnthropometryarchetypesaskpassbackportsbase64encBHbslibcachemcheckmateclasscliclustercodetoolscolorspacecpp11crosstalkcurldata.tableddalphaDEoptimRdigestdplyrevaluatefarverfastclusterfastmapfitdistrplusFNNfontawesomeforeachforeignFormulafsgenericsgeometryggplot2gluegridExtragtablehighrHmischtmlTablehtmltoolshtmlwidgetshttrICGEisobanditeratorsjquerylibjsonliteknitrlabelinglaterlatticelazyevallifecyclelinproglpSolvemagicmagrittrMASSMatrixmemoisemimeminpack.lmmodeltoolsnnetnnlsopensslotelpillarpkgconfigplotlypromisespurrrR6rappdirsRColorBrewerRcppRcppProgressrglrlangrmarkdownrobustbaserpartrstudioapiS7sassscalesscatterplot3dsfsmiscshapesstringistringrsurvivalsystibbletidyrtidyselecttinytextoleranceunivOutlutf8vctrsviridisLitewithrxfunyaml

Readme and manuals

Help Manual

Help pageTopics
Multivariate parallel archetypoid algorithm for large applications (ADALARA)adalara
Multivariate non-parallel archetypoid algorithm for large applications (ADALARA)adalara_no_paral
Archetypoid algorithm with the functional Frobenius normarchetypoids_funct
Archetypoid algorithm with the functional multivariate Frobenius normarchetypoids_funct_multiv
Archetypoid algorithm with the functional multivariate robust Frobenius normarchetypoids_funct_multiv_robust
Archetypoid algorithm with the functional robust Frobenius normarchetypoids_funct_robust
Archetypoid algorithm with the Frobenius normarchetypoids_norm_frob
Archetypoid algorithm with the robust Frobenius normarchetypoids_robust
Bisquare functionbisquare_function
Run the whole classical archetypoid analysis with the Frobenius normdo_ada
Run the whole robust archetypoid analysis with the robust Frobenius normdo_ada_robust
Alphas and RSS of every set of archetypoidsdo_alphas_rss
Alphas and RSS of every set of multivariate archetypoidsdo_alphas_rss_multiv
Cleaning outliersdo_clean
Cleaning multivariate functional outliersdo_clean_multiv
Run the whole functional archetypoid analysis with the Frobenius normdo_fada
Run the whole archetypoid analysis with the functional multivariate Frobenius normdo_fada_multiv
Run the whole archetypoid analysis with the functional multivariate robust Frobenius normdo_fada_multiv_robust
Run the whole archetypoid analysis with the functional robust Frobenius normdo_fada_robust
kNN for outlier detectiondo_knno
Degree of outliernessdo_outl_degree
Functional parallel archetypoid algorithm for large applications (FADALARA)fadalara
Functional non-parallel archetypoid algorithm for large applications (FADALARA)fadalara_no_paral
Compute archetypes frameframe_in_r
Frobenius normfrobenius_norm
Functional Frobenius normfrobenius_norm_funct
Functional multivariate Frobenius normfrobenius_norm_funct_multiv
Functional multivariate robust Frobenius normfrobenius_norm_funct_multiv_robust
Functional robust Frobenius normfrobenius_norm_funct_robust
Robust Frobenius normfrobenius_norm_robust
Interior product between matricesint_prod_mat
Interior product between matrices for FDAint_prod_mat_funct
Squared interior product between matricesint_prod_mat_sq
Squared interior product between matrices for FDAint_prod_mat_sq_funct
Tolerance outliersoutl_toler
Archetype algorithm to raw data with the functional Frobenius normstepArchetypesRawData_funct
Archetype algorithm to raw data with the functional multivariate Frobenius normstepArchetypesRawData_funct_multiv
Archetype algorithm to raw data with the functional multivariate robust Frobenius normstepArchetypesRawData_funct_multiv_robust
Archetype algorithm to raw data with the functional robust Frobenius normstepArchetypesRawData_funct_robust
Archetype algorithm to raw data with the Frobenius normstepArchetypesRawData_norm_frob
Archetype algorithm to raw data with the robust Frobenius normstepArchetypesRawData_robust