ldr (1.2-1)

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Methods for likelihood-based dimension reduction in regression.

http://www.math.umbc.edu/~kofi/ldr
http://cran.r-project.org/web/packages/ldr

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).

Maintainer: Kofi Placid Adragni
Author(s): Kofi Placid Adragni, Andrew Raim

License: GPL (>= 2)

Uses: GrassmannOptim, Matrix

Released 7 months ago.

1 previous version

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