ref_gridA named list of defaults for objects created by
ref_grid. This could affect other objects as well. For example,
if emmeans is called with a fitted model object, it calls
ref_grid and this option will affect the resulting emmGrid
object.
emmeansA named list of defaults for objects created by
emmeans or emtrends.
contrastA named list of defaults for objects created by
contrast.emmGrid or pairs.emmGrid.
summaryA named list of defaults used by the methods
summary.emmGrid, predict.emmGrid, test.emmGrid,
confint.emmGrid, and emmip. The only option that can
affect the latter four is "predict.method".
sepA character value to use as a separator in labeling factor combinations.
Such labels are potentially used in several places such as contrast and
plot.emmGrid when combinations of factors are compared or plotted.
The default is " ".
parensCharacter vector that determines which labels are parenthesized
when they are contrasted. The first element is a regular expression, and the second and
third elements are used as left and right parentheses.
See details for the parens argument in contrast. The default
will parenthesize labels containing the four arithmetic operators,
using round parentheses.
cov.keepThe default value of cov.keep in ref_grid.
Defaults to "2", i.e., two-level covariates are treated like factors.
graphics.engineA character value matching
c("ggplot", "lattice"), setting the default engine to use in
emmip and plot.emmGrid. Defaults to "ggplot".
msg.interactionA logical value controlling whether or not
a message is displayed when emmeans averages over a factor involved
in an interaction. It is probably not appropriate to do this, unless
the interaction is weak. Defaults to TRUE.
msg.nestingA logical value controlling whether or not to
display a message when a nesting structure is auto-detected. The existence
of such a structure affects computations of EMMs. Sometimes, a nesting
structure is falsely detected -- namely when a user has omitted some
main effects but included them in interactions. This does not change the
model fit, but it produces a different parameterization that is picked
up when the reference grid is constructed. Defaults to TRUE.
simplify.namesA logical value controlling whether to
simplify (when possible) names in the model formula that refer to datasets --
for example, should we simplify a predictor name like “data$trt”
to just “trt”? Defaults to TRUE.
opt.digitsA logical value controlling the precision with which
summaries are printed. If TRUE (default), the number of digits
displayed is just enough to reasonably distinguish estimates from the ends
of their confidence intervals; but always at least 3 digits. If
FALSE, the system value getOption("digits") is used.
back.bias.adjA logical value controlling whether we
try to adjust bias when back-transforming. If FALSE, we use naive
back transformation. If TRUE and sigma is available, a
second-order adjustment is applied to estimate the mean on the response
scale.
enable.submodelA logical value. If TRUE, enables support
for selected model classes to implement the submodel option. If
FALSE, this support is disabled. Setting this option to FALSE
could save excess memory consumption.