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see (version 0.10.0)

plot.see_parameters_simulate: Plot method for simulated model parameters

Description

The plot() method for the parameters::simulate_parameters() function.

Usage

# S3 method for see_parameters_simulate
plot(
  x,
  data = NULL,
  stack = TRUE,
  show_intercept = FALSE,
  n_columns = NULL,
  normalize_height = FALSE,
  linewidth = 0.9,
  alpha_posteriors = 0.7,
  centrality = "median",
  ci = 0.95,
  ...
)

Value

A ggplot2-object.

Arguments

x

An object.

data

The original data used to create this object. Can be a statistical model.

stack

Logical. If TRUE, densities are plotted as stacked lines. Else, densities are plotted for each parameter among each other.

show_intercept

Logical, if TRUE, the intercept-parameter is included in the plot. By default, it is hidden because in many cases the intercept-parameter has a posterior distribution on a very different location, so density curves of posterior distributions for other parameters are hardly visible.

n_columns

For models with multiple components (like fixed and random, count and zero-inflated), defines the number of columns for the panel-layout. If NULL, a single, integrated plot is shown.

normalize_height

Logical. If TRUE, height of density-areas is "normalized", to avoid overlap. In certain cases when the range of a distribution of simulated draws is narrow for some parameters, this may result in very flat density-areas. In such cases, set normalize_height = FALSE.

linewidth

Numeric value specifying size of line geoms.

alpha_posteriors

Numeric value specifying alpha for the posterior distributions.

centrality

Character specifying the point-estimate (centrality index) to compute. Can be "median", "mean" or "MAP".

ci

Numeric value of probability of the CI (between 0 and 1) to be estimated. Default to 0.95.

...

Arguments passed to or from other methods.

Examples

Run this code
library(parameters)
m <<- lm(mpg ~ wt + cyl + gear, data = mtcars)
result <- simulate_parameters(m)
result
plot(result)

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