Description
Least-Squares Means.
Description
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.
README.md
R package lsmeans: Least-squares means (estimated marginal means)
NEWS
The lsmeans package is now just a front-end to emmeans. Users are encouraged to switch to emmeans (estimated marginal means), now available on CRAN. Note that:
- Really old R scripts that used lsmeans will still work with emmeans after making minor changes (use
emmeans:::convert_scripts()). - Existing objects created with really old versions of lsmeans can be converted to work with the new package via
emmeans:::convert_workspace(). - See
vignette("transition-from-lsmeans", "emmeans")for more details. - Datasets
auto.noise, etc. are now provided only in the emmeans package.