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Obtain least-squares means for 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: lsmeans now relies primarily on code in the 'emmeans' package. 'lsmeans' will be archived in the near future.
| Version: | 2.30-0 |
| Depends: | emmeans (≥ 1.3), methods, R (≥ 3.2) |
| Published: | 2018-11-02 |
| Author: | Russell Lenth [aut, cre, cph] |
| Maintainer: | Russell Lenth <russell-lenth at uiowa.edu> |
| License: | GPL-2 | GPL-3 |
| NeedsCompilation: | no |
| Citation: | lsmeans citation info |
| Materials: | README NEWS |
| In views: | Survival |
| CRAN checks: | lsmeans results |
| Reference manual: | lsmeans.pdf |
| Package source: | lsmeans_2.30-0.tar.gz |
| Windows binaries: | r-devel: lsmeans_2.30-0.zip, r-release: lsmeans_2.30-0.zip, r-oldrel: lsmeans_2.30-0.zip |
| macOS binaries: | r-release (arm64): lsmeans_2.30-0.tgz, r-oldrel (arm64): lsmeans_2.30-0.tgz, r-release (x86_64): lsmeans_2.30-0.tgz, r-oldrel (x86_64): lsmeans_2.30-0.tgz |
| Old sources: | lsmeans archive |
| Reverse imports: | StroupGLMM |
| Reverse suggests: | broom |
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