| plot.bmrm {bayesMRM} | R Documentation |
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 |
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