Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Rebecca Killick, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Russell V. Lenth
Title: Least-Squares Means: The R Package lsmeans
Abstract: Least-squares means are predictions from a linear model, or averages thereof. They are useful in the analysis of experimental data for summarizing the effects of factors, and for testing linear contrasts among predictions. The lsmeans package (Lenth 2016) provides a simple way of obtaining least-squares means and contrasts thereof. It supports many models fitted by R (R Core Team 2015) core packages (as well as a few key contributed ones) that fit linear or mixed models, and provides a simple way of extending it to cover more model classes.

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Paper: Least-Squares Means: The R Package lsmeans     Download PDF (Downloads: 43732)
Supplements:
lsmeans_2.22.tar.gz: R source package Download (Downloads: 263; 772KB)
v69i01.R: R replication code Download (Downloads: 303; 9KB)
DOI: 10.18637/jss.v069.i01

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