ems: Expected Mean Squares for Anova
In SWotherspoon/EMS: Expected Mean Squares for Mixed Model Anova

Compute expressions for the expeted means squares in a mixed model.

1 2	ems(formula, data, random = NULL, type = c("III", "I", "II"), restricted = FALSE)

`formula`	A formula describing the model.
`data`	A data frame in which the variables specified in the modle formula will be found.
`random`	A character vector listing the predictors to be considered random.
`type`	The "type" of test.
`restricted`	Should EMS be computed assuming a restricted or unrestricted model.

Computes the coefficients in the expressions for the expected mean squares for a given dataset.

This approach to analysis of variance is not recommended.

Returns an object of class "ems" with components

`call`	the matched call.
`restricted`	logical indicating whether the EMS were computed for the restricted or unrestricted model.
`variables`	a logical vector indicating which model variables are random.
`terms`	a logical vector indicating which model terms are random.
`EMS`	a table of the coefficients in the expansions of the EMS.