44 zigControlExamplesdata(mouseData)head(uniqueFeatures(mouseData[1:100,],cl=pData(mouseData)[,3]))zigControlSettings for the fitZig functionDescriptionSettings for the fitZig functionUsagezigControl(tol = 1e-04, maxit = 10, verbose = TRUE)ArgumentstolmaxitverboseThe tolerance for the difference in negative log likelihood estimates for a featureto remain active.The maximum number of iterations for the expectation-maximization algorithm.Whether to display iterative step summary statistics or not.ValueThe value for the tolerance, maximum no. of iterations, and the verbose warning.NotefitZig makes use of zigControl.See AlsofitZig cumNorm plotOTUExamplescontrol =zigControl(tol=1e-10,maxit=10,verbose=FALSE)
Index∗Topic packagemetagenomeSeq-package, 3[,MRexperiment-method (MRexperiment), 30aggregateByTaxonomy, 3aggTax (aggregateByTaxonomy), 3biom2MRexperiment, 4, 24, 31calculateEffectiveSamples, 5colMeans,MRexperiment-method(MRexperiment), 30colSums,MRexperiment-method(MRexperiment), 30correctIndices, 6correlationTest, 6corTest (correlationTest), 6cumNorm, 7, 8–10, 13, 14, 16, 18, 19, 30, 37,38, 41, 44cumNormMat, 8, 30, 36, 39, 40cumNormStat, 8, 9, 10, 30cumNormStatFast, 9, 10doCountMStep, 10doEStep, 11doZeroMStep, 12exportMat, 13exportMatrix (exportMat), 13exportStats, 14expSummary, 14expSummary,MRexperiment-method(expSummary), 14filterData, 15fitDO, 16fitMeta, 17fitPA, 17, 33fitZig, 5, 8–13, 16, 18, 18–23, 28, 33, 34, 43,44genusPlot (plotGenus), 38getCountDensity, 19getEpsilon, 20getNegativeLogLikelihoods, 20getPi, 21getZ, 22isItStillActive, 22libSize, 23, 30libSize,MRexperiment-method (libSize),23load_biom, 5, 24, 31load_meta, 5, 24, 24–26, 31load_metaQ, 25load_phenoData, 5, 24, 25, 26, 31lungData, 26makeLabels, 27metagenomeSeq (metagenomeSeq-package), 3metagenomeSeq-package, 3metagenomicLoader (load_meta), 24mouseData, 27MRcoefs, 5, 28, 33, 34MRcounts, 29, 30MRcounts,MRexperiment-method(MRcounts), 29MRexperiment, 30MRexperiment-class (MRexperiment), 30MRexperiment2biom, 31MRfulltable, 5, 32MRtable, 28, 33, 33newMRexperiment, 5, 24, 30, 31, 34normFactors, 30, 35normFactors,MRexperiment-method(normFactors), 35p.adjust, 28, 32, 33phenoData (load_phenoData), 26plotCorr, 36, 4245