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adamethods
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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.adamethods . adamethods results . adamethods.pdf . adamethods_1.2.1.tar.gz . adamethods_1.2.1.zip . adamethods_1.2.1.zip . adamethods_1.2.1.zip . adamethods_1.2.1.tgz . adamethods_1.2.1.tgz . adamethods_1.2.1.tgz . adamethods_1.2.1.tgz . adamethods_1.2.1.tgz . adamethods_1.2.1.tgz . adamethods archive . https://CRAN.R-project.org/package=adamethods .
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 22 Feb. 2025.
Previous versions and publish date:
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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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