R: Class for storing output from the Bayesian model
XdeMcmc-class
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)