mixtools (version 2.0.0)

plotly_mixMCMC: Various Plots Pertaining to Mixture Model Output Using MCMC Methods using plotly

Description

This is an updated version of plot.mixMCMC. For technical details, please refer to plot.mixMCMC.

Usage

plotly_mixMCMC(x, trace.plot = TRUE, summary.plot = FALSE, burnin = 2000, 
               credit.region = 0.95, col.cr = NULL,
               cex.trace = 3, width.trace = 3, 
               cex.summary = 3, width.summary = 1,
               title.trace = "", title.trace.x = 0.5, 
               title.trace.y = 0.95, title.trace.size = 15,
               xlab.trace = "Index", xlab.trace.size = 15, xtick.trace.size = 15,
               ylab.trace = NULL, ylab.trace.size = 15, ytick.trace.size = 15,
               title.summary = "Credible Regions", title.summary.x = 0.5, 
               title.summary.y = 0.95, title.summary.size = 15,
               xlab.summary = "Predictor", xlab.summary.size = 15, 
               xtick.summary.size = 15,
               ylab.summary = "Response", ylab.summary.size = 15, 
               ytick.summary.size = 15
)

Value

plotly_mixMCMC returns trace plots of the various parameters estimated by the MCMC methods for all objects of class

mixMCMC. In addition, other plots may be produced for the following k-component mixture model functions:

regmixMH

Credible bands for the regression lines in a mixture of linear regressions. See regcr for more details.

Arguments

x

An object of class mixMCMC.

trace.plot

If TRUE, trace plots of the various parameters estimated by the MCMC methods is given.

summary.plot

Graphics pertaining to certain mixture models. The details are given below.

burnin

The values 1 to burnin are dropped when producing the plots in summary.plots.

credit.region

Confidence level of credit region.

col.cr

Color of credit region. Number of color specified needs to be consistent with number of components.

cex.trace

Dot size of trace plots.

width.trace

Line width of trace plots.

cex.summary

Dot size of summary plots.

width.summary

Line width of summary plots.

title.trace

Text of the main title of trace plots.

title.trace.x

Horizontal position of main title of trace plots.

title.trace.y

Vertical position of main title of trace plots.

title.trace.size

Text sise of main title of trace plots.

xlab.trace

Label of X-axis of trace plots.

xlab.trace.size

Size of the lable of X-axis of trace plots.

xtick.trace.size

Size of tick lables of X-axis of trace plots.

ylab.trace

Label of Y-axis of trace plots.

ylab.trace.size

Size of the lable of Y-axis of trace plots.

ytick.trace.size

Size of tick lables of Y-axis of trace plots.

title.summary

Text of the main title of summar plot.

title.summary.x

Horizontal position of main title of summary plot.

title.summary.y

Vertical position of main title of summary plot.

title.summary.size

Text sise of main title of summary plot.

xlab.summary

Label of X-axis of summary plot.

xlab.summary.size

Size of the lable of X-axis of summary plot.

xtick.summary.size

Size of tick lables of X-axis of summary plot.

ylab.summary

Label of Y-axis of summary plot.

ylab.summary.size

Size of the lable of Y-axis of summary plot.

ytick.summary.size

Size of tick lables of Y-axis of summary plot.

See Also

regcr, plot.mixMCMC

Examples

if (FALSE) {
data(NOdata)
attach(NOdata)
set.seed(100)
beta <- matrix(c(1.3, -0.1, 0.6, 0.1), 2, 2)
sigma <- c(.02, .05)
MH.out <- regmixMH(Equivalence, NO, beta = beta, s = sigma,
                   sampsize = 2500, omega = .0013)
plotly_mixMCMC(x = MH.out, summary.plot = TRUE, col.cr = c("red", "green"))
}