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, "https://open.uct.ac.za/items/4e655d7d-d10c-481b-9ccc-801903aebfc8").

Version:	1.0
Imports:	rgl
Suggests:	stats, Matrix, akima, knitr, rmarkdown
Published:	2025-03-12
DOI:	10.32614/CRAN.package.prinsurf
Author:	Raeesa Ganey [aut, cre]
Maintainer:	Raeesa Ganey <Raeesa.ganey at wits.ac.za>
License:	MIT + file LICENSE
NeedsCompilation:	no
Materials:	README
CRAN checks:	prinsurf results

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