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# CITATION file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "psvmSDR" in publications use:'
type: software
license: GPL-2.0-only
title: 'psvmSDR: Unified Principal Sufficient Dimension Reduction Package'
version: 3.0.1
doi: 10.32614/CRAN.package.psvmSDR
abstract: 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) <https://doi.org/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) <https://doi.org/10.1016/j.patcog.2020.107768>).
authors:
- family-names: Shin
  given-names: Jungmin
  email: c16267@gmail.com
- family-names: Shin
  given-names: Seung Jun
- family-names: Artemiou
  given-names: Andreas
repository: https://c16267.r-universe.dev
commit: e3fabaafdb2b012f2946525c7b529b0126ff26ca
date-released: '2026-02-16'
contact:
- family-names: Shin
  given-names: Jungmin
  email: c16267@gmail.com