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prinsurf
View on CRAN: Click
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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]
[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.prinsurf . prinsurf results . prinsurf.pdf . prinsurf_1.0.tar.gz . prinsurf_1.0.zip . prinsurf_1.0.zip . prinsurf_1.0.zip . prinsurf_1.0.tgz . prinsurf_1.0.tgz . prinsurf_1.0.tgz . prinsurf_1.0.tgz . prinsurf_1.0.tgz . prinsurf_1.0.tgz . https://CRAN.R-project.org/package=prinsurf .
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 05 Apr. 2025.
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