RMixtCompUtilities (version 4.1.6)

getMixtureDensity: Get the mixture density

Description

Get the mixture density for each individual

Usage

getMixtureDensity(outMixtComp)

Value

a vector containing the mixture density for each individual.

Arguments

outMixtComp

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

Author

Quentin Grimonprez

Details

$$d(x_i) = \sum_k\pi_k P(x_i; \theta_k)$$

See Also

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

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)

  d <- getMixtureDensity(resLearn)
}