brmshypothesis ObjectsA brmshypothesis object contains posterior samples
as well as summary statistics of non-linear hypotheses as
returned by hypothesis.
# S3 method for brmshypothesis
print(x, digits = 2, chars = 20, ...)# S3 method for brmshypothesis
plot(x, N = 5, ignore_prior = FALSE, chars = 40,
colors = NULL, theme = NULL, ask = TRUE, plot = TRUE, ...)
An object of class brmsfit.
Minimal number of significant digits,
see print.default.
Maximum number of characters of each hypothesis
to print or plot. If NULL, print the full hypotheses.
Defaults to 20.
Currently ignored.
The number of parameters plotted per page.
A flag indicating if prior distributions should also be plotted. Only used if priors were specified on the relevant parameters.
Two values specifying the colors of the posterior
and prior density respectively. If NULL (the default)
colors are taken from the current color scheme of
the bayesplot package.
A theme object
modifying the appearance of the plots.
For some basic themes see ggtheme
and theme_default.
logical; indicates if the user is prompted
before a new page is plotted.
Only used if plot is TRUE.
logical; indicates if plots should be
plotted directly in the active graphic device.
Defaults to TRUE.
The two most important elements of a brmshypothesis object are
hypothesis, which is a data.frame containing the summary estimates
of the hypotheses, and samples, which is a data.frame containing
the corresponding posterior samples.