histCorr: Creates plots of correlation matrices

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

Creates plots of correlation matrices

Description

This function plots the posterior distribution of the elements of correlation matrices.

Usage

histCorr(x, term = "R", plotOptions = list(),...)

Arguments

x	an object of class ‘mvrm’, as generated by function mvrm.
term	Admits two possible values: "R" to plot samples from the posterior of the correlation matrix R, and "muR" to plot samples from the posterior of the means \mu_R.
plotOptions	ggplot type options.
...	other arguments.

Details

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

Value

Posterior distributions 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.