
This function computes point estimates and HPD intervals for each
factor combination in object@emmGrid
. While this function
may be called independently, it is called utomatically by the S3 method
summary.emmGrid
when the object is based on a Bayesian model.
(Note: the level
argument, or its default, is passed as prob
).
hpd.summary(object, prob, by, type, point.est = median, ...)
an emmGrid
object having a non-missing post.beta
slot
numeric probability content for HPD intervals (note: when not specified,
the current level
option is used; see emm_options
)
factors to use as by
variables
prediction type as in summary.emmGrid
function to use to compute the point estimates from the posterior sample for each grid point
required but not used
an object of class summary_emm
# NOT RUN {
if(require("coda")) {
# Create an emmGrid object from a system file
cbpp.rg <- do.call(emmobj,
readRDS(system.file("extdata", "cbpplist", package = "emmeans")))
hpd.summary(emmeans(cbpp.rg, "period"))
}
# }
Run the code above in your browser using DataLab