Package: lsmeans
Type: Package
Title: Least-Squares Means
Version: 2.27-60
Date: 2017-11-01
Authors@R: c(person("Russell", "Lenth", role = c("aut", "cre", "cph"), 
    email = "russell-lenth@uiowa.edu"),
    person("Jonathon", "Love", role = "ctb"))
Depends: methods, R (>= 3.2)
Suggests: car, lattice, MCMCpack, mediation, multcompView, ordinal,
        pbkrtest (>= 0.4-1), CARBayes, coxme, gee, geepack, glmmADMB,
        lme4, lmerTest (>= 2.0.32), MASS, MCMCglmm, nnet, pscl, rsm,
        rstan, rstanarm, survival
Imports: estimability, graphics, stats, utils, nlme, coda (>= 0.17),
        multcomp, plyr, mvtnorm, xtable (>= 1.8-2)
Additional_repositories: http://glmmadmb.r-forge.r-project.org/repos
BugReports: https://github.com/rvlenth/lsmeans/issues
LazyData: yes
ByteCompile: yes
Description: Obtain least-squares means for many linear, generalized linear, 
    and mixed models. Compute contrasts or linear functions of 
    least-squares means, and comparisons of slopes. 
    Plots and compact letter displays. Least-squares means were proposed in
    Harvey, W (1960) "Least-squares analysis of data with unequal subclass numbers",
    Tech Report ARS-20-8, USDA National Agricultural Library, and discussed
    further in Searle, Speed, and Milliken (1980) "Population marginal means 
    in the linear model: An alternative to least squares means", 
    The American Statistician 34(4), 216-221 <doi:10.1080/00031305.1980.10483031>.
    NOTE: Users are encouraged to switch to the 'emmeans' package,
    as 'lsmeans' will be archived in the not-too-distant future.
License: GPL-2 | GPL-3
NeedsCompilation: no
Packaged: 2017-11-01 17:55:58 UTC; rlenth
Author: Russell Lenth [aut, cre, cph],
  Jonathon Love [ctb]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>
Repository: CRAN
Date/Publication: 2017-11-02 01:02:45 UTC
