Package: GeomArchetypal 1.0.3
GeomArchetypal: Finds the Geometrical Archetypal Analysis of a Data Frame
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>.
Authors:
GeomArchetypal_1.0.3.tar.gz
GeomArchetypal_1.0.3.tar.gz(r-4.5-noble)GeomArchetypal_1.0.3.tar.gz(r-4.4-noble)
GeomArchetypal_1.0.3.tgz(r-4.4-emscripten)GeomArchetypal_1.0.3.tgz(r-4.3-emscripten)
GeomArchetypal.pdf |GeomArchetypal.html✨
GeomArchetypal/json (API)
NEWS
# Install 'GeomArchetypal' in R: |
install.packages('GeomArchetypal', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- gallupGPS6 - Gallup Global Preferences Study processed data set of six variables
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 3 days agofrom:333538e22c. Checks:OK: 2. Indexed: no.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 21 2024 |
R-4.5-linux | OK | Oct 21 2024 |
Exports:BLB_archetypalcloser_grid_archetypalfast_archetypalgrid_archetypalplot.closer_grid_archetypalplot.grid_archetypalpoints_inside_convex_hullprint.BLB_archetypalprint.closer_grid_archetypalprint.grid_archetypalsummary.BLB_archetypalsummary.closer_grid_archetypalsummary.grid_archetypal
Dependencies:abindarchetypalclicodetoolscolorspacedistancesdoParalleldplyrentropyfansifarverforeachgenericsgeometryglueinflectioniteratorslabelinglatticelifecyclelinproglpSolvemagicmagrittrMatrixmiraimisc3dmunsellnanonextpillarpkgconfigplot3DR6RColorBrewerRcppRcppProgressrlangscalestibbletidyselectutf8vctrsviridisLitewithr