plot.spateMCMC: Plot fitted spateMCMC objects.

In spate: Spatio-Temporal Modeling of Large Data Using a Spectral SPDE Approach

Plot fitted spateMCMC objects.

Description

Plots trace plots, pair plots, the posterior of the hyperparameters and the posterior of the latent spatio-temporal process.

Usage

## S3 method for class 'spateMCMC'
plot(x,..., trace = TRUE, hist = TRUE,
              medianHist=TRUE, pairs = FALSE,ask = TRUE, ToFile = FALSE,
              path = NULL,file = NULL,true=NULL,BurnInAdaptive=NULL,
              postProcess = FALSE)

Arguments

x	A 'spateMCMC' object obtained from 'spate.mcmc'.
...	Arguments to be passed to 'spate.plot' in case 'postProcess=TRUE' is selected.
trace	logical; if 'TRUE' trace plots are made
hist	logical; if 'TRUE' histograms of the posterior distributions for the hyper-parameters are plotted
medianHist	logical; if 'TRUE' medians are added to the histograms.
pairs	logical; if 'TRUE' trace plots are made
ask	logical; if 'TRUE' (and the R session is interactive) the user is asked for input, before a new figure is drawn.
ToFile	logical; if 'TRUE' the plots are save to a file.
path	The path.
file	The file name.
true	The true value of the parameters (for simulation only).
BurnInAdaptive	The number of samples used as burn-in before starting the adaptive estimation of Metropolis-Hastings proposal covariance for the hyper-parameters.
postProcess	logical; if 'TRUE' the posterior of the spatio-temporal process xi is plotted as well.

Value

Plots illustrating a fitted model saved in a 'spateMCMC' object.

Author(s)

Fabio Sigrist

Examples

data("spateMCMC")
plot(spateMCMC,medianHist=TRUE,pairs=TRUE)

spate documentation built on Oct. 3, 2023, 5:09 p.m.