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.

4 exports 1 stars 2.57 score 5 dependencies 13 mentions 16 scripts 224 downloads

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

TargetResultDate
Doc / VignettesOKAug 22 2024
R-4.5-linux-x86_64NOTEAug 22 2024

Exports:mavemave.computemave.datamave.dim

Dependencies:classMASSmdaRcppRcppArmadillo

Use Guide of Package

Rendered fromUser_Guild_of_Package_MAVE.Rnwusingutils::Sweaveon Aug 22 2024.

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