View source: R/MIXTCOMP_methods.R
summary.MixtComp | R Documentation |
Summary of a MixtComp object
## S3 method for class 'MixtComp'
summary(object, ...)
object |
MixtComp object |
... |
Not used. |
Quentin Grimonprez
mixtCompLearn
print.MixtComp
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)
summary(resLearn)
}
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