View source: R/MIXTCOMP_getParam.R
getParam | R Documentation |
Get the estimated parameter
getParam(outMixtComp, var)
getProportion(outMixtComp)
outMixtComp |
object of class MixtCompLearn or MixtComp obtained using |
var |
name of the variable to get parameter |
the parameter of the variable
Quentin Grimonprez
plotDataBoxplot
plotDataCI
Other getter:
getBIC()
,
getCompletedData()
,
getEmpiricTik()
,
getMixtureDensity()
,
getPartition()
,
getType()
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 estimated parameters for variable var1
param <- getParam(resLearn, "var1")
prop <- getProportion(resLearn)
}
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