therimalaya/envelope: Computing Envelope Estimators in Multivariate Linear Regression

This package provides a general routine, envMU, which allows estimation of the M envelope of span(U) given root n consistent estimators of M and U. The routine envMU does not presume a model. In the context of multivariate linear regression, this package implements response envelopes (env function), partial response envelopes (penv function) and envelopes in the predictor space (xenv function). For each of these model-based routines the package provides inference tools including bootstrap, cross validation, estimation and prediction, hypothesis testing on coefficients are included. Tools for selection of dimension include AIC, BIC and likelihood ratio testing. Background is available at http://arxiv.org/abs/1509.03767. Optimization is based on a clockwise coordinate descent algorithm.

Getting started

Package details

AuthorDennis Cook, Liliana Forzani, Zhihua Su
MaintainerDennis Cook <[email protected]>, Liliana Forzani <[email protected]>, Zhihua Su <[email protected]>
LicenseGPL-2
Version1.7
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("therimalaya/envelope")
therimalaya/envelope documentation built on May 26, 2017, 12:26 a.m.