plotMCMC: Plot results from posterior samples

In mapn/DAbayes: Bayesian Statistical Model for Climate-Change Detection and Attribution

Description

This function mainly saves relevant plots for posterior samples.

Usage

plotMCMC(MCMCoutputs, N, n, dir = getwd(), burnin = 2000, format = "pdf",
  width = 8, height = 6, weights_plot = TRUE, beta_plot = TRUE,
  beta_box = TRUE, chisq_plot = TRUE)

Arguments

MCMCoutputs	a list of r elements, where r is the number of EOFs specified, and each element is a list of 6 elements containing posterior quantities of parameters, log-likelihood, chisq statistics, and prior, which are the outputs from MCMC algorithm
N	an integer containing the number of ensemble memembers
n	an integer containing the number of grid cells
dir	a file path specifying where to save the plots
burnin	an integer specifying where the posterior samples have good mixing propertity
format	a character specifying the format of plots to be saved, e.g., "pdf", "png"
width	the width of the device (inches for .pdf plot and pixels for others)
height	the height of the device (inches for .pdf plot and pixels for others)
weights_plot	a logical value specifying whether the posterior plots of weights are saved
beta_plot	a logical value specifying whether the posterior plots of beta are saved
beta_box	a logical value specifying whether the box plots of posterior samples for beta are saved
chisq_plot	a logical value specifying whether the chisquare test plot is saved

Value

null

Author(s)

Pulong Ma <[e-mail]>

See Also

parDAbayes

mapn/DAbayes documentation built on May 21, 2019, 11:26 a.m.