Methods for Dimension Reduction [R package MAVE version 1.3.12]

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: 1.3.12

Depends: R (≥ 3.1.0)

Imports: Rcpp (≥ 0.11.0), stats, graphics, mda

LinkingTo: Rcpp, RcppArmadillo

Suggests: knitr

Published: 2025年07月27日

DOI: 10.32614/CRAN.package.MAVE

Author: Yingcun Xia [aut], Weiqiang Hang [aut, cre]

Maintainer: Weiqiang Hang <weiqiang.hang at outlook.com>

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

NeedsCompilation: yes

CRAN checks: MAVE results

Documentation:

Reference manual: MAVE.html , MAVE.pdf

Vignettes: Use Guide of Package (source, R code)

Downloads:

Package source: MAVE_1.3.12.tar.gz

Windows binaries: r-devel: MAVE_1.3.12.zip, r-release: MAVE_1.3.12.zip, r-oldrel: MAVE_1.3.12.zip

macOS binaries: r-release (arm64): MAVE_1.3.12.tgz, r-oldrel (arm64): MAVE_1.3.12.tgz, r-release (x86_64): MAVE_1.3.12.tgz, r-oldrel (x86_64): MAVE_1.3.12.tgz

Old sources: MAVE archive

Reverse dependencies:

Reverse imports: SensIAT

Linking:

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