forest_plot: Draw a forest plot for a baggr model

In baggr: Bayesian Aggregate Treatment Effects

Draw a forest plot for a baggr model

Description

The forest plot functionality in baggr is a simple interface for calling the forestplot function. By default the forest plot displays raw (unpooled) estimates for groups and the treatment effect estimate underneath. This behaviour can be modified to display pooled group estimates.

Usage

forest_plot(
  bg,
  show = c("inputs", "posterior", "both", "covariates"),
  print = show,
  prob = 0.95,
  digits = 3,
  ...
)

Arguments

bg	a baggr class object
show	if "inputs", then plotted points and lines correspond to raw inputs for each group; if "posterior" – to posterior distribution; you can also plot "both" inputs and posteriors; if "covariates", then fixed effect coefficients are plotted
print	which values to print next to the plot: values of "inputs" or "posterior" means? (if show="covariates", it must be "posterior")
prob	width of the intervals (lines) for the plot
digits	number of digits to display when printing out mean and SD in the plot
...	other arguments passed to forestplot

See Also

forestplot function and its vignette for examples; effect_plot and baggr_plot for non-forest plots of baggr results

Examples

bg <- baggr(schools, iter = 500)
forest_plot(bg)
forest_plot(bg, show = "posterior", print = "inputs", digits = 2)

baggr documentation built on May 29, 2024, 6:33 a.m.