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 being deprecated. Users are encouraged to switch to emmeans (estimated marginal means), now available on CRAN. The lsmeans package will be archived on CRAN at some not-too-distant time in the future. Note that:
- R scripts that use lsmeans will still work with emmeans after making minor changes (use
emmeans:::convert_scripts()). - Existing objects created with lsmeans can be converted to work with the new package via
emmeans:::convert_workspace(). - See
vignette("transition-from-lsmeans", "emmeans")for more details.