Package: GeomArchetypal
Type: Package
Title: Finds the Geometrical Archetypal Analysis of a Data Frame
Version: 1.0.3
Date: 2024-10-20
Authors@R: c(
             person("Demetris", "Christopoulos",email = "dchristop@econ.uoa.gr",role = c("aut", "cre","cph")),
             person("David", "Midgley", email = "david.midgley@insead.edu", role = c("ctb","cph")),
             person("Sunil", "Venaik", email = "s.venaik@business.uq.edu.au", role = c("ctb")),
             person("INSEAD Hoffmann Institute France", role = c("fnd")),
			       person("The University of Queensland Australia", role = c("fnd"))
             )  
Maintainer: Demetris Christopoulos <dchristop@econ.uoa.gr>
Description: Performs Geometrical Archetypal Analysis after creating Grid Archetypes 
    which are the Cartesian Product of all minimum, maximum variable values. Since the archetypes 
    are fixed now, we have the ability to compute the convex composition coefficients for all 
    our available data points much faster by using the half part of Principal Convex Hull Archetypal method. 
    Additionally we can decide to keep as archetypes the closer to the Grid Archetypes ones. Finally 
    the number of archetypes is always 2 to the power of the dimension of our data points 
    if we consider them as a vector space. 
    Cutler, A., Breiman, L. (1994)      <doi:10.1080/00401706.1994.10485840>.
    Morup, M., Hansen, LK. (2012) <doi:10.1016/j.neucom.2011.06.033>.
    Christopoulos, DT. (2024) <doi:10.13140/RG.2.2.14030.88642>.   
License: GPL (>= 2)
Depends: R (>= 3.1.0)
Imports: Matrix, geometry, archetypal, doParallel, methods, plot3D,
        distances, rlang, magrittr, dplyr, mirai, abind, scales
Suggests: knitr, rmarkdown
VignetteBuilder: knitr
Author: Demetris Christopoulos [aut, cre, cph],
  David Midgley [ctb, cph],
  Sunil Venaik [ctb],
  INSEAD Hoffmann Institute France [fnd],
  The University of Queensland Australia [fnd]
NeedsCompilation: no
Language: en-US
Packaged: 2024-10-20 09:51:51 UTC; demetris_ws
Repository: CRAN
Date/Publication: 2024-10-20 10:50:09 UTC
Built: R 4.6.0; ; 2026-04-29 03:06:29 UTC; unix
