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MAVE

Methods for Dimension Reduction

v1.3.12 · Jul 27, 2025 · GPL (>= 2)
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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) <doi:10.1111/1467-9868.03411>; Xia (2007) <doi:10.1214/009053607000000352>; Wang (2008) <doi:10.1198/016214508000000418>.

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Check History

OK 14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE Mar 10, 2026

Reverse Dependencies (1)

imports

SensIAT

Dependency Network

Dependencies Reverse dependencies Rcpp mda SensIAT MAVE

Version History

new 1.3.12 Mar 10, 2026
updated 1.3.12 ← 1.3.11 diff Jul 26, 2025
updated 1.3.11 ← 1.3.10 diff Mar 1, 2021
updated 1.3.10 ← 1.3.9 diff Oct 17, 2019
updated 1.3.9 ← 1.3.8 diff May 7, 2019
updated 1.3.8 ← 1.2.9 diff May 19, 2018
updated 1.2.9 ← 1.2.8 diff Jun 18, 2017
updated 1.2.8 ← 1.1.5 diff Jun 14, 2017
updated 1.1.5 ← 0.1.7 diff May 14, 2017
updated 0.1.7 ← 0.1.6 diff Jan 31, 2017
new 0.1.6 Jan 28, 2017