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>.

Version: 1.3.11
Depends: R (≥ 3.1.0)
Imports: Rcpp (≥ 0.11.0), stats, graphics, mda
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr
Published: 2021-03-02
DOI: 10.32614/CRAN.package.MAVE
Author: Hang Weiqiang, Xia Yingcun
Maintainer: Hang Weiqiang <E0010758 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
CRAN checks: MAVE results


Reference manual: MAVE.pdf
Vignettes: Use Guide of Package


Package source: MAVE_1.3.11.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): MAVE_1.3.11.tgz, r-oldrel (arm64): MAVE_1.3.11.tgz, r-release (x86_64): MAVE_1.3.11.tgz, r-oldrel (x86_64): MAVE_1.3.11.tgz
Old sources: MAVE archive


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