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