Descriptions of brmshypothesis Objects

A brmshypothesis object contains posterior draws 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,
  nvariables = 5,
  N = NULL,
  ignore_prior = FALSE,
  chars = 40,
  colors = NULL,
  theme = NULL,
  ask = TRUE,
  plot = TRUE,
  ...
)

Arguments

x

An object of class brmsfit.

digits

Minimal number of significant digits, see print.default.

chars

Maximum number of characters of each hypothesis to print or plot. If NULL, print the full hypotheses. Defaults to 20.

...

Currently ignored.

nvariables

The number of variables (parameters) plotted per page.

N

Deprecated alias of nvariables.

ignore_prior

A flag indicating if prior distributions should also be plotted. Only used if priors were specified on the relevant parameters.

colors

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.

theme

A theme object modifying the appearance of the plots. For some basic themes see ggtheme and theme_default.

ask

Logical; indicates if the user is prompted before a new page is plotted. Only used if plot is TRUE.

plot

Logical; indicates if plots should be plotted directly in the active graphic device. Defaults to TRUE.

Details

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 draws.

See also

hypothesis