RMixtCompUtilities (version 4.1.6)

getType: Names and Types Getters

Description

getType returns the type output of a MixtComp object, getModel returns the model object, getVarNames returns the name for each variable

Usage

getType(outMixtComp, with.z_class = FALSE)
getModel(outMixtComp, with.z_class = FALSE)
getVarNames(outMixtComp, with.z_class = FALSE)

Value

a vector containing the type of models, names associated with each individual.

Arguments

outMixtComp

object of class MixtCompLearn or MixtComp obtained using mixtCompLearn or mixtCompPredict functions from RMixtComp package or rmcMultiRun from RMixtCompIO package.

with.z_class

if TRUE, the type of z_class is returned.

Author

Quentin Grimonprez

See Also

Other getter: getBIC(), getCompletedData(), getEmpiricTik(), getMixtureDensity(), getParam(), getPartition()

Examples

if (requireNamespace("RMixtCompIO", quietly = TRUE)) {
  dataLearn <- list(
    var1 = as.character(c(rnorm(50, -2, 0.8), rnorm(50, 2, 0.8))),
    var2 = as.character(c(rnorm(50, 2), rpois(50, 8)))
  )

  model <- list(
    var1 = list(type = "Gaussian", paramStr = ""),
    var2 = list(type = "Poisson", paramStr = "")
  )

  algo <- list(
    nClass = 2,
    nInd = 100,
    nbBurnInIter = 100,
    nbIter = 100,
    nbGibbsBurnInIter = 100,
    nbGibbsIter = 100,
    nInitPerClass = 3,
    nSemTry = 20,
    confidenceLevel = 0.95,
    ratioStableCriterion = 0.95,
    nStableCriterion = 10,
    mode = "learn"
  )

  resLearn <-RMixtCompIO::rmcMultiRun(algo, dataLearn, model, nRun = 3)

  # get type
  type <- getType(resLearn)

  # get model object
  model <- getModel(resLearn)

  # get variable names
  varNames <- getVarNames(resLearn)
}