Package: MAVE 1.3.11

Hang Weiqiang

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:Hang Weiqiang<[email protected]>, Xia Yingcun<[email protected]>

MAVE_1.3.11.tar.gz
MAVE_1.3.11.tar.gz(r-4.5-noble)MAVE_1.3.11.tar.gz(r-4.4-noble)
MAVE_1.3.11.tgz(r-4.4-emscripten)MAVE_1.3.11.tgz(r-4.3-emscripten)
MAVE.pdf |MAVE.html✨
MAVE/json (API)

# Install 'MAVE' in R:
install.packages('MAVE', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:

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

3.32 score 1 stars 21 scripts 235 downloads 13 mentions 4 exports 5 dependencies

Last updated 4 years agofrom:2b958d876d. Checks:OK: 1 NOTE: 1. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 20 2024
R-4.5-linux-x86_64NOTENov 20 2024

Exports:mavemave.computemave.datamave.dim

Dependencies:classMASSmdaRcppRcppArmadillo

Use Guide of Package

Rendered fromUser_Guild_of_Package_MAVE.Rnwusingutils::Sweaveon Nov 20 2024.

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