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MAVE  

Methods for Dimension Reduction
View on CRAN: Click here


Download and install MAVE package within the R console
Install from CRAN:
install.packages("MAVE")

Install from Github:
library("remotes")
install_github("cran/MAVE")

Install by package version:
library("remotes")
install_version("MAVE", "1.3.12")



Attach the package and use:
library("MAVE")
Maintained by
Hang Weiqiang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-01-29
Latest Update: 2025-07-27
Description:
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) ; Xia (2007) ; Wang (2008) .
How to cite:
Hang Weiqiang (2017). MAVE: Methods for Dimension Reduction. R package version 1.3.12, https://cran.r-project.org/web/packages/MAVE. Accessed 05 Mar. 2026.
Previous versions and publish date:
0.1.6 (2017-01-29 10:16), 0.1.7 (2017-02-01 08:34), 1.1.5 (2017-05-15 07:23), 1.2.8 (2017-06-15 15:40), 1.2.9 (2017-06-19 15:59), 1.3.8 (2018-05-20 14:58), 1.3.9 (2019-05-08 13:10), 1.3.10 (2019-10-18 08:20), 1.3.11 (2021-03-02 19:00)
Other packages that cited MAVE R package
View MAVE citation profile
Other R packages that MAVE depends, imports, suggests or enhances
Complete documentation for MAVE
Functions, R codes and Examples using the MAVE R package
Some associated functions: Concrete . coef.mave . kc_house_data . mave.data . mave.dim . mave . plot.mave . predict.mave . spam . 
Some associated R codes: Concrete.R . M3d2list.R . MAVE.R . MAVE_CV.R . MAVE_DATA.R . RcppExports.R . coef_mave.R . kc_house_data.R . plot_mave.R . predict_mave.R . print_mave.R . print_mave_cv.R . spam.R .  Full MAVE package functions and examples
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