MAVE

R package MAVE: Methods for Dimension Reduction. Functions for dimension reduction, using MAVE (Minimum Average Variance Estimation), OPG (Outer Product of Gradient) and KSIR (sliced inverse regression of kernel version). Methods for selecting the best dimension are also included. Xia (2002) <doi:10.1111/1467-9868.03411>; Xia (2007) <doi:10.1214/009053607000000352>; Wang (2008) <doi:10.1198/016214508000000418>.

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References in zbMATH (referenced in 5 articles )

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  1. Fertl, Lukas; Bura, Efstathia: The ensemble conditional variance estimator for sufficient dimension reduction (2022)
  2. Fertl, Lukas; Bura, Efstathia: Conditional variance estimator for sufficient dimension reduction (2022)
  3. Kapla, Daniel; Fertl, Lukas; Bura, Efstathia: Fusing sufficient dimension reduction with neural networks (2022)
  4. Tharindu P. De Alwis, S. Yaser Samadi : itdr: An R package of Integral Transformation Methods to Estimate the SDR Subspaces in Regression (2022) arXiv
  5. Wong, Chun Yui; Seshadri, Pranay; Parks, Geoffrey T.; Girolami, Mark: Embedded ridge approximations (2020)