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ldr (version 1.3.3)

Methods for likelihood-based dimension reduction in regression

Description

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).

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Version

Install

install.packages('ldr')

Monthly Downloads

59

Version

1.3.3

License

GPL (>= 2)

Maintainer

Kofi Adragni

Last Published

October 29th, 2014

Functions in ldr (1.3.3)

bf

Function to generate a basis function.
flea

Flea-beetles data
ldr

Likelihood-based Dimension Reduction
plot.pfc

Internal function of ldr
plot.lad

Internal function of ldr
core

Covariance Reduction
pfc

Principal fitted components
OH

OH dataset
structure.test

Test of covariance structure for PFC models
snakes

Snakes data
print.core

Internal function of ldr
print.summarylad

Internal function for ldr.
summary.lad

Internal function for ldr.
print.summarypfc

Internal function for ldr.
print.summarycore

Internal function for ldr.
print.structure

Internal function for ldr.
projection

Projection operator
summary.core

Internal function for ldr.
print.lad

Internal function of ldr
summary.pfc

Internal function for ldr.
screen.pfc

Adaptive Screening of Predictors
bigmac

bigmac data
orthonorm

Gram-Schmidt orthonormalization
print.pfc

Internal function of ldr
ldr.slices

Function to slice continuous response.
lad

Likelihood Acquired Directions