plot.bmrm: Produce plots of the parameter estimates

In bayesMRM: Bayesian Multivariate Receptor Modeling

Produce plots of the parameter estimates

Description

Produce plots of the estimated posterior mean and 95% posterior intervals of A,P, Sigma based on the MCMC samples in bmrm.

Usage

## S3 method for class 'bmrm'
plot(x, type = "both", ...)

Arguments

x	an object of class bmrm, the output of the function bmrm
type	name of a variable (default="P"). It should be one of "P"(source composition or profile matrix P), "A"(source contribution matrix A), "both" (both P and A), "Sigma" (error variance).
...	arguments to be passed to methods

Details

The following types of plots are drawn depending on the selected parameters:

• P: bar plots of the posterior means with 95% posterior intervals of elements for each row of P

• A: time series plots of posterior means with 95% posterior intervals elements for each column of A

• Sigma: posterior means with error bars for 95% posterior intervals of elements of Sigma

Value

plot

bayesMRM documentation built on Dec. 28, 2022, 1:36 a.m.