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psvmSDR  

Unified Principal Sufficient Dimension Reduction Package
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("psvmSDR", "1.0.2")



Attach the package and use:
library("psvmSDR")
Maintained by
Jungmin Shin
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-08-30
Latest Update: 2024-08-30
Description:
A unified and user-friendly framework for applying the principal sufficient dimension reduction methods for both linear and nonlinear cases. The package has an extendable power by varying loss functions for the support vector machine, even for an user-defined arbitrary function, unless those are convex and differentiable everywhere over the support (Li et al. (2011) <doi:10.1214/11-AOS932>). Also, it provides a real-time sufficient dimension reduction update procedure using the principal least squares support vector machine (Artemiou et al. (2021) <doi:10.1016/j.patcog.2020.107768>).
How to cite:
Jungmin Shin (2024). psvmSDR: Unified Principal Sufficient Dimension Reduction Package. R package version 1.0.2, https://cran.r-project.org/web/packages/psvmSDR. Accessed 10 Nov. 2024.
Previous versions and publish date:
1.0.1 (2024-08-30 12:20)
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Complete documentation for psvmSDR
Functions, R codes and Examples using the psvmSDR R package
Full psvmSDR package functions and examples
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