bayesMRMApp {bayesMRM} | R Documentation |

## Shiny App for exploring the results of Bayesian multivariate receptor modeling

### Description

Call Shiny to show the results of Bayesian analysis of multivariate receptor modeling in a web-based application. This object contains

plots of the posterior means and 95% posterior intervals of parameters in an object of class

`bmrm`

.tables of the posterior means of parameters in an object of class

`bmrm`

.tables of the posterior quantiles of parameters in an object of class

`bmrm`

, for prob=(0.025, 0.05, 0.25, 0.5, 0.75, 0.95, 0.975).tables of convergence diagnostics of parameters in an object of class

`bmrm`

.3-dimensional dynamic principal component plots of data (Y) and source profiles (rows of the estimated source composition matrix P) in an object of class

`bmrm`

. The plot can be rotated by moving the cursor.trace plots and ACF plots of the first 6 elements of a parameter in an object of class

`bmrm`

.

### Usage

```
bayesMRMApp(x)
```

### Arguments

`x` |
an object of class |

### Value

shiny App

*bayesMRM*version 2.4.0 Index]