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:	2025-07-27
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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