Last data update: 2014.03.03
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R: Confidence regions (ellipses) from Markov chain Monte Carlo
confRegion | R Documentation |
Confidence regions (ellipses) from Markov chain Monte Carlo
Description
Constructs confidence regions (ellipses) from the Markov chain output for the features of interest. Function uses the ellipse package.
Usage
confRegion(mcse.obj, which = c(1,2), level = .95)
Arguments
mcse.obj |
the list returned by the mcse.multi command
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which |
integer vector of length 2 indicating the component for which to make the confidence ellipse. Chooses the first two by default.
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level |
confidence level for the ellipse
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Details
Returns a matrix of x and y coordinates for the ellipse. Use plot function on the matrix to plot the ellipse
Examples
library(mAr)
p <- 3
n <- 1e3
omega <- 5*diag(1,p)
## Making correlation matrix var(1) model
set.seed(100)
foo <- matrix(rnorm(p^2), nrow = p)
foo <- foo %*% t(foo)
phi <- foo / (max(eigen(foo)$values) + 1)
out <- as.matrix(mAr.sim(rep(0,p), phi, omega, N = n))
mcerror <- mcse.multi(out)
## Plotting the ellipse
plot(confRegion(mcerror), type = 'l')
Results
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