plot.post: Plot a quantity of interest

In carlislerainey/separation: Using informative priors to deal with separation in logistic regression models

Description

plot.post() produces a density plot for a single coefficient from an object of class "post."

Usage

## S3 method for class 'post'
plot(post, var_name, ci_type = "hpd", prob = 0.9,
  main = NULL, xlim = NULL, ylim = NULL, ...)

Arguments

post	An object of class "post" created by one of the sim_post_*() functions.
var_name	The name of the variable to plot.
ci_type	The type of confidence interval to compute. Either "hpd" (highest posterior density) or "et" (equal-tailed). Defaults to "hpd".
prob	A numeric scalar in the interval (0,1) giving the target probability content of the intervals.
main	The title of the plot.
xlim	The x limits (x1, x2) of the plot.
ylim	The y limits (y1, y2) of the plot.
...	Arguments passed to eplot() in the package compactr.

carlislerainey/separation documentation built on May 13, 2019, 12:45 p.m.