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adamethods  

Archetypoid Algorithms and Anomaly Detection
View on CRAN: Click here


Download and install adamethods package within the R console
Install from CRAN:
install.packages("adamethods")

Install from Github:
library("remotes")
install_github("cran/adamethods")

Install by package version:
library("remotes")
install_version("adamethods", "1.2.1")



Attach the package and use:
library("adamethods")
Maintained by
Guillermo Vinue
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-11-14
Latest Update: 2020-08-04
Description:
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) .
How to cite:
Guillermo Vinue (2018). adamethods: Archetypoid Algorithms and Anomaly Detection. R package version 1.2.1, https://cran.r-project.org/web/packages/adamethods. Accessed 21 Oct. 2026.
Previous versions and publish date:
(2026-07-09 07:16), 1.0 (2018-11-14 15:40), 1.1 (2018-11-26 14:30), 1.2 (2019-03-06 17:02)
Other packages that cited adamethods R package
View adamethods citation profile
Other R packages that adamethods depends, imports, suggests or enhances
Complete documentation for adamethods
Functions, R codes and Examples using the adamethods R package
Some associated functions: adalara . adalara_no_paral . archetypoids_funct . archetypoids_funct_multiv . archetypoids_funct_multiv_robust . archetypoids_funct_robust . archetypoids_norm_frob . archetypoids_robust . bisquare_function . do_ada . do_ada_robust . do_alphas_rss . do_alphas_rss_multiv . do_clean . do_clean_multiv . do_fada . do_fada_multiv . do_fada_multiv_robust . do_fada_robust . do_knno . do_outl_degree . fadalara . fadalara_no_paral . frame_in_r . frobenius_norm . frobenius_norm_funct . frobenius_norm_funct_multiv . frobenius_norm_funct_multiv_robust . frobenius_norm_funct_robust . frobenius_norm_robust . int_prod_mat . int_prod_mat_funct . int_prod_mat_sq . int_prod_mat_sq_funct . outl_toler . stepArchetypesRawData_funct . stepArchetypesRawData_funct_multiv . stepArchetypesRawData_funct_multiv_robust . stepArchetypesRawData_funct_robust . stepArchetypesRawData_norm_frob . stepArchetypesRawData_robust . 
Some associated R codes: adalara.R . adalara_no_paral.R . archetypoids_funct.R . archetypoids_funct_internal.R . archetypoids_funct_multiv.R . archetypoids_funct_multiv_internal.R . archetypoids_funct_multiv_robust.R . archetypoids_funct_multiv_robust_internal.R . archetypoids_funct_robust.R . archetypoids_funct_robust_internal.R . archetypoids_norm_frob.R . archetypoids_norm_frob_internal.R . archetypoids_robust.R . archetypoids_robust_internal.R . bisquare_function.R . do_ada.R . do_ada_robust.R . do_alphas_rss.R . do_alphas_rss_multiv.R . do_clean.R . do_clean_multiv.R . do_fada.R . do_fada_multiv.R . do_fada_multiv_robust.R . do_fada_robust.R . do_kNNo.R . do_outl_degree.R . fadalara.R . fadalara_no_paral.R . frame_in_r.R . frobenius_norm.R . frobenius_norm_funct.R . frobenius_norm_funct_multiv.R . frobenius_norm_funct_multiv_robust.R . frobenius_norm_funct_robust.R . frobenius_norm_robust.R . int_prod_mat.R . int_prod_mat_funct.R . int_prod_mat_sq.R . int_prod_mat_sq_funct.R . memento.R . outl_toler.R . stepArchetypesRawData_funct.R . stepArchetypesRawData_funct_internal.R . stepArchetypesRawData_funct_multiv.R . stepArchetypesRawData_funct_multiv_internal.R . stepArchetypesRawData_funct_multiv_robust.R . stepArchetypesRawData_funct_multiv_robust_internal.R . stepArchetypesRawData_funct_robust.R . stepArchetypesRawData_funct_robust_internal.R . stepArchetypesRawData_norm_frob.R . stepArchetypesRawData_norm_frob_internal.R . stepArchetypesRawData_robust.R . stepArchetypesRawData_robust_internal.R .  Full adamethods package functions and examples
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