plot.gvs: Diagnostic plots
In pjbouchet/espresso: Bayesian Inference For Multi-Species Behavioural Dose-response Functions
plot.gvs R Documentation
Diagnostic plots
Description
Generate trace, density, and autocorrelation plots from a gvs object.
Usage
## S3 method for class 'gvs'
plot(gvs.dat, param.name = NULL, autocorr = FALSE, individual = FALSE)
Arguments
gvs.dat
Gibbs Variable Selection object, as returned by gibbs.
param.name
Parameter name(s). Defaults to NULL, which returns plots for all parameters in the model.
autocorr
Logical. Whether to output chain autocorrelation plots.
individual
Logical. If TRUE, separate density lines will be plotted for each chain. If FALSE, one density line will be plotted for all chains.
Details
Adapted from Casey Youngflesh's function MCMCtrace.
Author(s)
Phil J. Bouchet
See Also
run_rjMCMC trace_rjMCMC
pjbouchet/espresso documentation built on July 27, 2024, 12:31 p.m.
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| plot.gvs | R Documentation |
Diagnostic plots
Description
Generate trace, density, and autocorrelation plots from a gvs object.
Usage
## S3 method for class 'gvs'
plot(gvs.dat, param.name = NULL, autocorr = FALSE, individual = FALSE)
Arguments
gvs.dat |
Gibbs Variable Selection object, as returned by |
param.name |
Parameter name(s). Defaults to |
autocorr |
Logical. Whether to output chain autocorrelation plots. |
individual |
Logical. If |
Details
Adapted from Casey Youngflesh's function MCMCtrace.
Author(s)
Phil J. Bouchet
See Also
run_rjMCMC trace_rjMCMC
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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