baggr_plot: Plotting method in baggr package

In baggr: Bayesian Aggregate Treatment Effects

Plotting method in baggr package

Description

Extracts study effects from the baggr model and sends them to one of bayesplot package plotting functions.

Usage

baggr_plot(
  bg,
  hyper = FALSE,
  style = "intervals",
  transform = NULL,
  prob = 0.5,
  prob_outer = 0.95,
  vline = FALSE,
  order = TRUE,
  ...
)

Arguments

bg	object of class baggr
hyper	logical; show hypereffect as the last row of the plot?
style	either "intervals" or "areas"
transform	a function (e.g. exp(), log()) to apply to the values of group (and hyper, if hyper=TRUE) effects before plotting; when working with effects that are on log scale, exponent transform is used automatically, you can plot on log scale by setting transform = identity
prob	Probability mass for the inner interval in visualisation
prob_outer	Probability mass for the outer interval in visualisation
vline	logical; show vertical line through 0 in the plot?
order	logical; sort groups by magnitude of treatment effect?
...	extra arguments to pass to the bayesplot functions

Value

ggplot2 object

Author(s)

Witold Wiecek; the visual style is based on bayesplot package

See Also

bayesplot::MCMC-intervals for more information about bayesplot functionality; forest_plot for a typical meta-analysis alternative; effect_plot for plotting treatment effects for a new group

Examples

fit <- baggr(schools, pooling = "none")
plot(fit)
plot(fit, style = "areas", order = FALSE)

baggr documentation built on March 31, 2023, 10:02 p.m.