plot.gmjmcmc: Function to plot the results, works both for results from...

In FBMS: Flexible Bayesian Model Selection and Model Averaging

Function to plot the results, works both for results from gmjmcmc and merged results from merge.results

Description

Function to plot the results, works both for results from gmjmcmc and merged results from merge.results

Usage

## S3 method for class 'gmjmcmc'
plot(x, count = "all", pop = "best", tol = 1e-07, data = NULL, ...)

Arguments

x	The results to use
count	The number of features to plot, defaults to all
pop	The population to plot, defaults to last
tol	The tolerance to use for the correlation when finding equivalent features, default is 0.0000001
data	Data to merge on, important if pre-filtering was used
...	Not used.

Value

No return value, just creates a plot

Examples

result <- gmjmcmc(y = matrix(rnorm(100), 100),
x = matrix(rnorm(600), 100), 
P = 2, 
transforms = c("p0", "exp_dbl"))
plot(result)

FBMS documentation built on Sept. 13, 2025, 1:09 a.m.