facloadpairplot: Displays bivariate marginal posterior distributions of factor...

In factorstochvol: Bayesian Estimation of (Sparse) Latent Factor Stochastic Volatility Models

Displays bivariate marginal posterior distributions of factor loadings.

Description

facloadpairplot illustrates the bivariate marginals of the factor loadings distribution. For a monochrome variant, see facloadcredplot.

Usage

facloadpairplot(x, maxpoints = 500, alpha = 20/maxpoints, cex = 3)

Arguments

x	Object of class 'fsvdraws', usually resulting from a call to fsvsample.
maxpoints	The maximum amount of posterior draws to plot. If the number of draws stored in x exceeds this number, draws are thinned accordingly.
alpha	Level of transparency.
cex	Controls the size of the dots.

Value

Returns x invisibly.

See Also

Other plotting: comtimeplot(), corimageplot(), corplot(), cortimeplot(), evdiag(), facloadcredplot(), facloaddensplot(), facloadpointplot(), facloadtraceplot(), logvartimeplot(), paratraceplot(), plot.fsvdraws(), plotalot(), voltimeplot()

factorstochvol documentation built on Nov. 24, 2023, 5:08 p.m.