ldr (1.3.3)

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Methods for likelihood-based dimension reduction in regression.

http://www.jstatsoft.org/v61/i03/
http://cran.r-project.org/web/packages/ldr

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).

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

License: GPL (>= 2)

Uses: GrassmannOptim, Matrix
Reverse suggests: BCEA

Released over 4 years ago.


4 previous versions

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