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prinsurf  

Constructs Principal Surfaces
View on CRAN: Click here


Download and install prinsurf package within the R console
Install from CRAN:
install.packages("prinsurf")

Install from Github:
library("remotes")
install_github("cran/prinsurf")

Install by package version:
library("remotes")
install_version("prinsurf", "1.0")



Attach the package and use:
library("prinsurf")
Maintained by
Raeesa Ganey
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-12
Latest Update: 2025-03-12
Description:
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").
How to cite:
Raeesa Ganey (2025). prinsurf: Constructs Principal Surfaces. R package version 1.0, https://cran.r-project.org/web/packages/prinsurf. Accessed 12 Sep. 2026.
Previous versions and publish date:
(2026-09-09 14:20), 1.0 (2025-03-12 18:30)
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Complete documentation for prinsurf
Functions, R codes and Examples using the prinsurf R package
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