archetypal: Finds the Archetypal Analysis of a Data Frame

Performs archetypal analysis by using Convex Hull approximation under a full control of all algorithmic parameters. It contains functions useful for finding the proper initial approximation, the optimal number of archetypes and function for applying main algorithm. Morup, M., Hansen, LK (2012) <doi:10.1016/j.neucom.2011.06.033>. Hochbaum, DS, Shmoys, DB (1985) <doi:10.1287/moor.10.2.180>. Eddy, WF(1977) <doi:10.1145/355759.355768>. Barber, CB, Dobkin, DP, Huhdanpaa, HT (1996) <doi:10.1145/235815.235821>. Christopoulos, DT (2016) <doi:10.2139/ssrn.3043076> .

Version: 1.0.0
Depends: R (≥ 3.1.0)
Imports: Matrix, geometry, inflection, doParallel, lpSolve, methods
Suggests: knitr, rmarkdown, plot3D
Published: 2019-06-13
Author: Demetris Christopoulos [aut, cre], David Midgley [ctb], INSEAD Fontainebleau France [fnd, cph]
Maintainer: Demetris Christopoulos <dchristop at econ.uoa.gr>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README
CRAN checks: archetypal results

Downloads:

Reference manual: archetypal.pdf
Vignettes: Introduction to Archetypal Package
Package source: archetypal_1.0.0.tar.gz
Windows binaries: r-devel: archetypal_1.0.0.zip, r-release: archetypal_1.0.0.zip, r-oldrel: archetypal_1.0.0.zip
OS X binaries: r-release: archetypal_1.0.0.tgz, r-oldrel: archetypal_1.0.0.tgz

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