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EMAlgorithm()
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EM algorithm for Gaussian mixture models |
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GMCM-package
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Fast optimization of Gaussian Mixture Copula Models |
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SimulateGMCMData() SimulateGMMData()
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Simulation from Gaussian mixture (copula) models |
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Uhat()
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Fast ranking function |
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as.theta()
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Coerce a list to a theta object |
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choose.theta()
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Heuristically chosen starting value of theta |
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classify()
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Classify observations |
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dmvnormal() rmvnormal()
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Multivariate Gaussian density and simulation |
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fit.full.GMCM() fit.general.GMCM()
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Estimate GMCM parameters of the general model |
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fit.meta.GMCM() fit.special.GMCM()
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Estimate GMCM parameters of the special model |
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freshVsFrozen
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Reproducibility between Fresh and Frozen B-cell subtypes |
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full2meta() meta2full()
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Convert between parameter formats |
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get.IDR() get.prob()
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Posterior class probabilities, local, and adjusted IDRs. |
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goodness.of.fit()
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Goodness of fit for the general GMCM |
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is.theta()
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Check if parameters are valid |
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plot(<theta>)
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Plotting method for "theta" objects |
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print(<theta>)
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Print method for theta class |
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rtheta()
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Get random parameters for the Gaussian mixture (copula) model |
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runGMCM()
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Run the GMCM shiny application |
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summary(<theta>)
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Summary method for theta class |
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u133VsExon
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Reproducibility between U133 plus 2 and Exon microarrays |