coefplot: Coefficient plots for brms models

In mvuorre/brmstools: Tools and Helpers for brms Package

Description

A more traditional version of bayesplot::mcmc_intervals(), additionally showing parameter means (and CIs) for each grouping factor.

Usage

coefplot(model, grouping = NA, level = 0.95, pars = NA,
  type = "br", interval_col = "black", interval_h = 0.1,
  point_col = "black", point_size = 3, r_col = "black",
  r_intervals = FALSE, r_alpha = 0.5, ...)

Arguments

model	A brmsfit model
grouping	Name of grouping variable (e.g. (1 | grouping)). Defaults to NA which returns the unique / first grouping factor in model.
level	For limits of credible intervals
pars	Which parameters to show (defaults to NA (all parameters)).
type	Show population level ("b"), group-specific ("r"), or both types ("br", default) of parameters.
interval_col	Color of intervals
interval_h	Height of bars at credible interval limits
point_col	Color of points
point_size	Size of points
r_col	Color of points for group-specific posterior means
r_intervals	Show credible intervals for group-specific parameters?
r_alpha	Transparency of group-specific estimates
...	Passed to tidyfitted()

Value

a ggplot

mvuorre/brmstools documentation built on Aug. 1, 2019, 9:29 p.m.