View source: R/MIXTCOMP_getter.R
getType | R Documentation |
getType returns the type output of a MixtComp object, getModel returns the model object, getVarNames returns the name for each variable
getType(outMixtComp, with.z_class = FALSE)
getModel(outMixtComp, with.z_class = FALSE)
getVarNames(outMixtComp, with.z_class = FALSE)
outMixtComp |
object of class MixtCompLearn or MixtComp obtained using |
with.z_class |
if TRUE, the type of z_class is returned. |
a vector containing the type of models, names associated with each individual.
Quentin Grimonprez
Other getter:
getBIC()
,
getCompletedData()
,
getEmpiricTik()
,
getMixtureDensity()
,
getParam()
,
getPartition()
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)
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.