Package: lsmeans 2.30-1
lsmeans: Least-Squares Means
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.
Authors:
lsmeans_2.30-1.tar.gz
lsmeans_2.30-1.zip(r-4.5)lsmeans_2.30-1.zip(r-4.4)lsmeans_2.30-1.zip(r-4.3)
lsmeans_2.30-1.tgz(r-4.4-any)lsmeans_2.30-1.tgz(r-4.3-any)
lsmeans_2.30-1.tar.gz(r-4.5-noble)lsmeans_2.30-1.tar.gz(r-4.4-noble)
lsmeans_2.30-1.tgz(r-4.4-emscripten)lsmeans_2.30-1.tgz(r-4.3-emscripten)
lsmeans.pdf |lsmeans.html✨
lsmeans/json (API)
NEWS
| # Install 'lsmeans' in R: |
| install.packages('lsmeans', repos = c('https://rvlenth.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/rvlenth/lsmeans/issues
Last updated 6 years agofrom:c79ceabf46. Checks:OK: 5 NOTE: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 26 2024 |
| R-4.5-win | NOTE | Nov 26 2024 |
| R-4.5-linux | NOTE | Nov 26 2024 |
| R-4.4-win | OK | Nov 26 2024 |
| R-4.4-mac | OK | Nov 26 2024 |
| R-4.3-win | OK | Nov 26 2024 |
| R-4.3-mac | OK | Nov 26 2024 |
Exports:contrastlsm.basislsmeansrecover.dataref.grid
Dependencies:emmeansestimabilitymvtnormnumDeriv
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Least-squares means | lsmeans-package |
| Data sets | auto.noise feedlot fiber MOats nutrition oranges |
| Create a reference grid from a fitted model | contrast lsm.basis lsmeans recover.data ref.grid summary.ref.grid |
| The 'ref.grid' and 'lsmobj' classes | lsmobj-class ref.grid-class |
| Transition to 'emmeans' | emmeans-transition transition |
