ldr: Methods for likelihood-based dimension reduction in regression

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).

Getting started

Package details

AuthorKofi Placid Adragni, Andrew Raim
MaintainerKofi Placid Adragni <kofi@umbc.edu>
LicenseGPL (>= 2)
URL http://www.jstatsoft.org/v61/i03/
Package repositoryView on CRAN
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ldr documentation built on May 2, 2019, 2:13 p.m.