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 |