plot.gm: Plot Function for Generator Matrix Estimation Objects

In ctmcd: Estimating the Parameters of a Continuous-Time Markov Chain from Discrete-Time Data

Plot Function for Generator Matrix Estimation Objects

Description

Function for visualizing the output of a generator matrix estimation procedure.

Usage

## S3 method for class 'gm'
plot(x, mattext, col = c("grey", "red"), main = x$method, las = 1, 
xlab = "To", ylab = "From", xnames, ynames, cex = 1, fig = 3, opacity_factor, ...)

Arguments

x	a generator matrix estimation object
mattext	optional: matrix of strings replacing the parameter estimates
col	two element vector of basis colors for positive and negative parameter estimate entries
main	optional: plot title
las	orientation of x and y axis elements
xlab	x axis name
ylab	y axis name
xnames	description of x axis elements
ynames	description of y axis elements
cex	font size
fig	number of significant figure to be plotted
opacity_factor	two element vector for specification of opacity for positive and negative parameter entry highlighting (must be greater than zero)
...	additional arguments

Value

no value, plot function

Author(s)

Marius Pfeuffer

See Also

print.gm, summary.gm, plotM

Examples

data(tm_abs)

## Maximum Likelihood Generator Matrix Estimate
gm0=matrix(1,8,8)
diag(gm0)=0
diag(gm0)=-rowSums(gm0)
gm0[8,]=0

gmem=gm(tm_abs,te=1,method="EM",gmguess=gm0)
plot(gmem)

ctmcd documentation built on May 31, 2023, 7:55 p.m.