Package: MAVE 1.3.12

Weiqiang Hang

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>.

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

MAVE_1.3.12.tar.gz
MAVE_1.3.12.tar.gz(r-4.7-arm64)MAVE_1.3.12.tar.gz(r-4.7-x86_64)MAVE_1.3.12.tar.gz(r-4.6-arm64)MAVE_1.3.12.tar.gz(r-4.6-x86_64)
MAVE_1.3.12.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
MAVE/json (API)

# Install 'MAVE' in R:
install.packages('MAVE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

openblascpp

4.01 score 1 stars 1 packages 34 scripts 336 downloads 13 mentions 4 exports 5 dependencies

Last updated from:2fb9b71c4d. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK152
linux-devel-x86_64OK142
source / vignettesOK252
linux-release-arm64OK138
linux-release-x86_64OK126
wasm-releaseOK114

Exports:mavemave.computemave.datamave.dim

Dependencies:classMASSmdaRcppRcppArmadillo

Use Guide of Package

Rendered fromUser_Guild_of_Package_MAVE.Rnwusingutils::Sweaveon May 21 2026.

Last update: 2018-05-20
Started: 2018-05-20