plot.MCMC_DLM: Visualises Results from MCMC_DLM Fits

In DiscreteDLM: Bayesian Distributed Lag Model Fitting for Binary and Count Response Data

Visualises Results from MCMC_DLM Fits

Description

Provides some ggplot visualisations of the posterior from MCMC_DLM objects.

Usage

## S3 method for class 'MCMC_DLM'
plot(x, type = "beta", include_intercept = FALSE, print_output = TRUE, ...)

Arguments

x	An MCMC_DLM object.
type	One of "beta", "gamma", "xi", or "lags". Partial matching is supported. See Details below.
include_intercept	Logical indicating if the intercept should be included in the graphs.
print_output	Logical indicating whether or not the ggplot objects should be printed to the screen.
...	Extra arguments; currently unused.

Details

The type of plot generated is determined by the type argument. The options are:

• beta: A ridgeplot of the regression slopes,

• gamma: A bar chart of the mean probability of inclusion,

• xi: A kernel density estimate plot of the negative binomial stopping parameter (of course, this only works for negative binomial regression fits),

• lags: A collection of plots (supplied in a list), each containing a line chart of the lag-response for each dynamic variable.

Value

A ggplot object, except when type = 'lags', in which case it will be a list of ggplot objects. Will display the ggplot visual if print_output = TRUE.

Author(s)

Daniel Dempsey ([e-mail])

DiscreteDLM documentation built on April 3, 2025, 6:19 p.m.