XdeMcmc-class {XDE} | R Documentation

## Class for storing output from the Bayesian model

### Description

Stores output, including the last iteration of the MCMC.

### Objects from the Class

Objects can be created by calls of the form `new("XdeMcmc", studyNames, featureNames, iterations, seed, output, directory, lastMcmc, posteriorAvg, bayesianEffectSize)`.

### Slots

`studyNames`:

  Object of class `"character"`

`featureNames`:

  Object of class `"character"`

`iterations`:

  Object of class `"numeric"`

`directory`:

  Object of class `"character"`

`seed`:

  Object of class `"integer"`

`output`:

  Object of class `"numeric"`

`lastMcmc`:

  Object of class `"environment"`

`posteriorAvg`:

  Object of class `"NULLorMatrix"`

`bayesianEffectSize`:

  Object of class `"NULLorMatrix"`

### Methods

`$`

  `signature(x = "XdeMcmc")`

.standardizedDelta

  `signature(object = "XdeMcmc")`

bayesianEffectSize

  `signature(object = "XdeMcmc")`

bayesianEffectSize<-

  `signature(object = "XdeMcmc", value = "matrix")`

calculatePosteriorAvg

  `signature(object = "XdeMcmc")`: See `calculatePosteriorAvg`

directory

  `signature(object = "XdeMcmc")`

featureNames

  `signature(object = "XdeMcmc")`

initialize

  `signature(.Object = "XdeMcmc")`

iterations

  `signature(object = "XdeMcmc")`

lastMcmc

  `signature(object = "XdeMcmc")`

nrow

  `signature(x = "XdeMcmc")`

output

  `signature(object = "XdeMcmc")`

plot

  `signature(x = "XdeMcmc")`

posteriorAvg

  `signature(object = "XdeMcmc")`

seed

  `signature(object = "XdeMcmc")`

show

  `signature(object = "XdeMcmc")`

studyNames

  `signature(object = "XdeMcmc")`

### Author(s)

R. Scharpf

### See Also

The class for storing the data: `ExpressionSetList-class` and the class that contains default options for fitting the Bayesian model: `XdeParameter-class`

### Examples

    ##See XDE vignette:
    ## Not run:
    openVignette(package="XDE")

    ## End(Not run)

[Package XDE version 2.30.0 Index]