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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 | Package: lsmeans
Type: Package
Title: Least-Squares Means
Version: 2.27-61
Date: 2017-11-05
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: 2017-11-04 20:55:44 UTC; rlenth
Author: Russell Lenth [aut, cre, cph],
Jonathon Love [ctb]
Maintainer: Russell Lenth <russell-lenth@uiowa.edu>
Repository: CRAN
Date/Publication: 2017-11-05 15:03:26 UTC
Built: R 3.4.2; ; 'Thu, 09 Nov 2017 14:24:07 +0100'; unix
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