Functions, methods, and datasets for fitting likelihood-based dimension reduction in regression, using principal fitted components (pfc), likelihood acquired directions (lad), covariance reducing models (core).
| Version: | 1.2-1 |
| Depends: | R (≥ 2.10), GrassmannOptim, Matrix |
| Published: | 2012-11-09 |
| Author: | Kofi Placid Adragni, Andrew Raim |
| Maintainer: | Kofi Placid Adragni <kofi at umbc.edu> |
| License: | GPL (≥ 2) |
| URL: | http://www.math.umbc.edu/~kofi/ldr |
| NeedsCompilation: | no |
| CRAN checks: | ldr results |
| Package source: | ldr_1.2-1.tar.gz |
| MacOS X binary: | ldr_1.2-1.tgz |
| Windows binary: | ldr_1.2-1.zip |
| Reference manual: | ldr.pdf |
| Old sources: | ldr archive |