plotCorr: Creates plots of the correlation matrices

In BNSP: Bayesian Non- And Semi-Parametric Model Fitting

Creates plots of the correlation matrices

Description

This function plots the posterior mean and credible intervals of the elements of correlation matrices.

Usage

plotCorr(x, term = "R", centre = mean, quantiles = c(0.1, 0.9), ...)

Arguments

x	an object of class ‘mvrm’ as generated by function mvrm.
term	R or muR,
centre	a description of how the centre of the posterior should be measured. Usually mean or median.
quantiles	the quantiles to be used when plotting credible regions. Plots without credible intervals may be obtained by setting this argument to NULL.
...	other arguments.

Details

Use this function to visualize the elements of a correlation matrix.

Value

Posterior means and credible intervals of elements of correlation matrices.

Author(s)

Georgios Papageorgiou [e-mail]

See Also

mvrm

Examples

#see \code{mvrm} example

BNSP documentation built on May 31, 2023, 7:05 p.m.