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>.
Version: |
1.2.1 |
Depends: |
R (≥ 3.4.0) |
Imports: |
Anthropometry, archetypes, FNN, foreach, graphics, nnls, parallel, stats, tolerance, univOutl, utils |
Suggests: |
doParallel, fda |
Published: |
2020-08-04 |
Author: |
Guillermo Vinue, Irene Epifanio |
Maintainer: |
Guillermo Vinue <Guillermo.Vinue at uv.es> |
License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
URL: |
https://www.r-project.org |
NeedsCompilation: |
no |
Materials: |
NEWS |
CRAN checks: |
adamethods results |
Documentation:
Downloads:
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