plot_coefs {walker}R Documentation

Posterior predictive check for walker object

Description

Plots sample quantiles from posterior predictive sample. See ppc_ribbon for details.

Usage

plot_coefs(
  object,
  level = 0.05,
  alpha = 0.33,
  transform = identity,
  scales = "fixed",
  add_zero = TRUE
)

Arguments

object

An output from walker.

level

Level for intervals. Default is 0.05, leading to 90% intervals.

alpha

Transparency level for geom_ribbon.

transform

Optional vectorized function for transforming the coefficients (for example exp).

scales

Should y-axis of the panels be "fixed" (default) or "free"?

add_zero

Logical, should a dashed line indicating a zero be included?


[Package walker version 1.0.8 Index]