Functions, methods, and data sets for fitting likelihood-based dimension reduction in regression, using principal fitted components (pfc), likelihood acquired directions (lad), covariance reducing models (core).
| Version: | 1.3.2 |
| Depends: | R (≥ 3.0.0), GrassmannOptim, Matrix |
| Published: | 2014-06-27 |
| Author: | Kofi Placid Adragni, Andrew Raim |
| Maintainer: | Kofi Placid Adragni <kofi at umbc.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| URL: | http://www.math.umbc.edu/~kofi/ldr |
| NeedsCompilation: | no |
| Citation: | ldr citation info |
| CRAN checks: | ldr results |
| Reference manual: | ldr.pdf |
| Package source: | ldr_1.3.2.tar.gz |
| Windows binaries: | r-devel: ldr_1.3.2.zip, r-release: ldr_1.3.2.zip, r-oldrel: ldr_1.3.2.zip |
| OS X Snow Leopard binaries: | r-release: ldr_1.3.2.tgz, r-oldrel: ldr_1.3.2.tgz |
| OS X Mavericks binaries: | r-release: ldr_1.3.2.tgz |
| Old sources: | ldr archive |