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These are wrappers for emmeans and related functions to provide backward compatibility, or for users who may prefer to use other terminology than “estimated marginal means” – namely “least-squares means”. These functions also provide the functionality formerly provided by the lsmeans package, which is now just a front-end for emmeans.

Usage

lsmeans(...)

lstrends(...)

lsmip(...)

lsm(...)

lsmobj(...)

lsm.options(...)

get.lsm.option(x, default = emm_defaults[[x]])

Arguments

...

Arguments passed to the corresponding emxxxx function

x

Character name of desired option

default

default value to return if x not found

Value

The result of the call to emxxxx, suitably modified.

get.lsm.option and lsm.options remap options from and to corresponding options in the emmeans options system.

Details

For each function with lsxxxx in its name, the same function named emxxxx is called. Any estimator names or list items beginning with “em” are replaced with “ls” before the results are returned

Examples

pigs.lm <- lm(log(conc) ~ source + factor(percent), data = pigs)
lsmeans(pigs.lm, "source")
#>  source lsmean     SE df lower.CL upper.CL
#>  fish     3.39 0.0367 23     3.32     3.47
#>  soy      3.67 0.0374 23     3.59     3.74
#>  skim     3.80 0.0394 23     3.72     3.88
#> 
#> Results are averaged over the levels of: percent 
#> Results are given on the log (not the response) scale. 
#> Confidence level used: 0.95