Closed Quentin62 closed 3 years ago
require(RMixtCompIO) # for learning a mixture model 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 <- rmcMultiRun(algo, dataLearn, model, nRun = 3) # plot heatmapVar(resLearn, pkg = "plotly") heatmapTikSorted(resLearn, pkg = "plotly") heatmapClass(resLearn, pkg = "plotly")
Error in matchSignature(signature, fdef) : more elements in the method signature (2) than in the generic signature (1) for function ‘asJSON’
correction will be released in RMixtCompUtilities 4.1.3