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superpc  

Supervised Principal Components
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("superpc", "1.12")



Attach the package and use:
library("superpc")
Maintained by
Jean-Eudes Dazard
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2004-09-16
Latest Update: 2020-10-19
Description:
Does prediction in the case of a censored survival outcome, or a regression outcome, using the "supervised principal component" approach. 'Superpc' is especially useful for high-dimensional data when the number of features p dominates the number of samples n (p >> n paradigm), as generated, for instance, by high-throughput technologies.
How to cite:
Jean-Eudes Dazard (2004). superpc: Supervised Principal Components. R package version 1.12, https://cran.r-project.org/web/packages/superpc. Accessed 20 Aug. 2026.
Previous versions and publish date:
(2026-07-09 07:10), 1.00 (2004-09-16 00:10), 1.01 (2004-10-23 11:50), 1.02 (2005-04-02 09:44), 1.03 (2005-05-19 07:23), 1.05 (2007-04-19 19:15), 1.06 (2009-04-14 19:33), 1.07 (2010-01-06 12:22), 1.08 (2011-04-08 09:12), 1.09 (2012-02-27 08:36)
Other packages that cited superpc R package
View superpc citation profile
Other R packages that superpc depends, imports, suggests or enhances
Complete documentation for superpc
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