new("XdeParameter",
  esetList, updates, tuning, hyperparameters, output, iterations,
  burnin, seed, randomSeed, genes, studies, firstMcmc,
  specifiedInitialValues, directory, phenotypeLabel, seed, showIterations,
  verbose, studyNames, one.delta).updates:numeric. The frequency
    of  updates for each iteration of the chain.tuning:numeric.  Tuning
      parameters for the Metropolis-Hastings proposals hyperparameters:numeric. Hyperparameters for the Bayesian hierarchical modeloutput:numeric. Indicator for
      whether to save the MCMC chain to file.  If the value is zero, the
    chain is not saved.iterations:numeric.  The total
    number of MCMC iterations.burnin:logical.  If set to
      FALSE, by default none of the chains will be saved (called for its
      side-effect of setting the output to zero for each parameter).notes:character. firstMcmc:environment. Values
      for the first iteration of the MCMC seed:integer.  Seed used for
    simulating random numbers.showIterations:logical.
      Whether to show the MCMC iteration when fitting the modelspecifiedInitialValues:logical.  If TRUE (the default), the values stored in
      firstMcmc will be used for the first iteration of the MCMC. directory:character. Specifies
    where to write the log filesphenotypeLabel:character. The
      name of the binary covariate used for differential expression verbose:logical studyNames:character. Names of
      the datasetsone.delta:signature(object = "XdeParameter") logical.
      See burninsignature(object = "XdeParameter", value =
	"logical") logical. See burninsignature(object = "XdeParameter") character
    string giving the path or relative path to store log files from the
    MCMC chainsignature(object = "XdeParameter")Path to
      store log files. signature(object = "XdeParameter") See firstMcmcsignature(object = "XdeParameter", value = "environment") signature(object = "XdeParameter", value = "list") signature(object = "XdeParameter") See
    the XdeParameterClass vignettesignature(object = "XdeParameter") See
    the XdeParameterClass vignettesignature(.Object = "XdeParameter") Method
      for initializing an instance of the class.  The default values
      provided work well in most cases.signature(object = "XdeParameter") Accessor
      for the total number of MCMC iterations to runsignature(object = "XdeParameter", value =
	numeric) The replacement method is useful for setting a
      different number of iterations.signature(object = "XdeParameter", value = "integer") signature(object = "XdeParameter") See also
      output. This method is also defined for class XdeMcmcsignature(object = "XdeParameter") See also output signature(object = "XdeParameter")
      The name of a binary covariate present in each studysignature(object = "XdeParameter", value = "character") signature(object = "XdeParameter") The
    number of MCMC iterations written to file.  It is the value of the
    total number of iterations divided by the thinning parameter.  See
    also outputsignature(object = "XdeParameter") See
      seedsignature(object = "XdeParameter",
    value="integer") Replacement method. See also seed.signature(object = "XdeParameter") Produces a
      short summary of objects that are instances of the
      XdeParameter classsignature(object = "XdeParameter") logicalsignature(object = "XdeParameter") signature(object = "XdeParameter") Names of
    the high-throughput gene expression studiessignature(object = "XdeParameter") signature(x = "XdeParameter") See
      output and thinsignature(x = "XdeParameter", value = numeric)
      See thinsignature(object = "XdeParameter") See also tuningsignature(object = "XdeParameter") signature(object = "XdeParameter") See also updatessignature(object = "XdeParameter") ExpressionSetList-class
showClass("XdeParameter")
##See the XdeParameterClass vignette
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