plot.bmrm: Produce plots of the parameter estimates
In mansukoh/bayesMRM: Bayesian Multivariate Receptor Modeling

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

1 2	## S3 method for class 'bmrm' plot(x, type = "both", ...)

`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

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

mansukoh/bayesMRM documentation built on March 19, 2021, 3:50 p.m.