Package: prinsurf 1.0

prinsurf: Constructs Principal Surfaces

Construct a principal surface that are two-dimensional surfaces that pass through the middle of a p-dimensional data set. They minimise the distance from the data points, and provide a nonlinear summary of data. The surfaces are nonparametric and their shape is suggested by the data. The formation of a surface is found using an iterative procedure which starts with a linear summary, typically with a principal component plane. Each successive iteration is a local average of the p-dimensional points, where an average is based on a projection of a point onto the nonlinear surface of the previous iteration. For more information on principal surfaces, see Ganey, R. 2019, Biplots based on principal surfaces,Faculty of Science ,Department of Statistical Sciences, UCT.

Authors:Raeesa Ganey [aut, cre]

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prinsurf/json (API)

# Install 'prinsurf' in R:
install.packages('prinsurf', repos = c('https://raeesaganey91.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/raeesaganey91/prinsurf/issues

On CRAN:

Conda:

4.00 score 1 exports 29 dependencies

Last updated 21 days agofrom:0472e6bdca. Checks:9 OK. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 13 2025
R-4.5-winOKMar 13 2025
R-4.5-macOKMar 13 2025
R-4.5-linuxOKMar 13 2025
R-4.4-winOKMar 13 2025
R-4.4-macOKMar 13 2025
R-4.4-linuxOKMar 13 2025
R-4.3-winOKMar 13 2025
R-4.3-macOKMar 13 2025

Exports:principal.surface

Dependencies:base64encbslibcachemclidigestevaluatefastmapfontawesomefsgluehighrhtmltoolshtmlwidgetsjquerylibjsonliteknitrlifecyclemagrittrmemoisemimeR6rappdirsrglrlangrmarkdownsasstinytexxfunyaml

Principal Surfaces

Rendered fromPrincipal_Surfaces.Rmdusingknitr::rmarkdownon Mar 13 2025.

Last update: 2024-12-20
Started: 2024-12-20

Readme and manuals

Help Manual

Help pageTopics
Principal Surfaceprincipal.surface