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POCRE  

Penalized Orthogonal-Components Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("POCRE", "0.6.0")



Attach the package and use:
library("POCRE")
Maintained by
Dabao Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-07-20
Latest Update: 2022-03-16
Description:
Penalized orthogonal-components regression (POCRE) is a supervised dimension reduction method for high-dimensional data. It sequentially constructs orthogonal components (with selected features) which are maximally correlated to the response residuals. POCRE can also construct common components for multiple responses and thus build up latent-variable models.
How to cite:
Dabao Zhang (2018). POCRE: Penalized Orthogonal-Components Regression. R package version 0.6.0, https://cran.r-project.org/web/packages/POCRE. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.5.0 (2018-07-20 15:20)
Other packages that cited POCRE R package
View POCRE citation profile
Other R packages that POCRE depends, imports, suggests or enhances
Complete documentation for POCRE
Functions, R codes and Examples using the POCRE R package
Some associated functions: cvpocre . gps . plot.pocre . plot.pocrepath . pocre . pocrepath . pocrescreen . selectmodel . sim5ydata . simbin . simdata . simpoi . sipocre . 
Some associated R codes: cvpocre.R . gps.R . plot.pocre.R . plot.pocrepath.R . pocre.R . pocrepath.R . pocrescreen.R . selectmodel.R . sipocre.R .  Full POCRE package functions and examples
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