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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>.
| Version: | 1.3.11 |
| Depends: | R (≥ 3.1.0) |
| Imports: | Rcpp (≥ 0.11.0), stats, graphics, mda |
| LinkingTo: | Rcpp, RcppArmadillo |
| Suggests: | knitr |
| Published: | 2021-03-02 |
| Author: | Hang Weiqiang, Xia Yingcun |
| Maintainer: | Hang Weiqiang <E0010758 at u.nus.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| CRAN checks: | MAVE results |
| Reference manual: | MAVE.pdf |
| Vignettes: |
Use Guide of Package |
| Package source: | MAVE_1.3.11.tar.gz |
| Windows binaries: | r-devel: MAVE_1.3.11.zip, r-release: MAVE_1.3.11.zip, r-oldrel: MAVE_1.3.11.zip |
| macOS binaries: | r-release (arm64): MAVE_1.3.11.tgz, r-oldrel (arm64): MAVE_1.3.11.tgz, r-release (x86_64): MAVE_1.3.11.tgz, r-oldrel (x86_64): MAVE_1.3.11.tgz |
| Old sources: | MAVE archive |
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