plotCI: Plot Credible Intervals of a Bayesian Model

In abnormally-distributed/Bayezilla: Bayesian Models With JAGS and Several Utilities for Data Exploration and Model Evaluation.

Description

Plot Credible Intervals of a Bayesian Model

Usage

plotCI(fit, keeppars = NULL, droppars = c("ySim", "log_lik", "lp__"),
  estimate = "mean", cred.level = 0.9, method = "QI", ROPE = NULL,
  rope.color = "black", SEbars = FALSE,
  SEbar.color = "darkslategray3", point.color = "firebrick2",
  point.size = 2.75, point.shape = 18, bar.color = "skyblue4",
  bar.size = 0.8, H0 = 0, ...)

Arguments

fit	the model fit
keeppars	variables to keep
droppars	variables to drop. defaults to c("ySim", "log_lik", "lp__")
cred.level	Confidence level. Defaults to .90.
method	credible interval methods. Defaults to QI (quantile intervals) but HDI (highest density intervals) is also available.
ROPE	If you would like, ROPE limits added to the plot.
rope.color	rope color
SEbars	Defaults to FALSE. If TRUE, superimposes 68.2 percent intervals over wider ones.
SEbar.color	standard error bar color
point.color	point color
point.size	point size
point.shape	default to 18 (diamond)
bar.color	bar color
bar.size	bar size
H0	the null hypothesis. defaults to 0.
...	other arguments to pass to post_summary, which is called internally

Examples

plotCI()

abnormally-distributed/Bayezilla documentation built on Oct. 31, 2019, 1:57 a.m.