plot.lugsail_gr: Plot Method for lugsail_gr Objects
In LugsailGR: Generalized Gelman-Rubin Diagnostic and Effective Sample Size for MCMC
plot.lugsail_gr R Documentation
Plot Method for lugsail_gr Objects
Description
Produces diagnostic plots for MCMC chains, including trace plots,
running Gelman-Rubin statistic \hat{R}_L plots, and density estimates.
Usage
## S3 method for class 'lugsail_gr'
plot(x, type = c("all", "trace", "running_gr", "density"), ...)
Arguments
x
An object of class "lugsail_gr".
type
Character string specifying plot type: "all" (default),
"trace", "running_gr", or "density".
...
Additional graphical parameters.
Value
No return value, called for side effects (generating plots).
Examples
set.seed(123)
chain1 <- rnorm(500)
chain2 <- rnorm(500)
fit <- lugsail_gr(list(chain1, chain2))
plot(fit, type = "running_gr")
LugsailGR documentation built on Aug. 5, 2026, 9:08 a.m.
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| plot.lugsail_gr | R Documentation |
Plot Method for lugsail_gr Objects
Description
Produces diagnostic plots for MCMC chains, including trace plots,
running Gelman-Rubin statistic \hat{R}_L plots, and density estimates.
Usage
## S3 method for class 'lugsail_gr'
plot(x, type = c("all", "trace", "running_gr", "density"), ...)
Arguments
x |
An object of class |
type |
Character string specifying plot type: |
... |
Additional graphical parameters. |
Value
No return value, called for side effects (generating plots).
Examples
set.seed(123)
chain1 <- rnorm(500)
chain2 <- rnorm(500)
fit <- lugsail_gr(list(chain1, chain2))
plot(fit, type = "running_gr")
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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