A112                    Copy Number Variant intensity data
CNV.fitModel            Fits a mixture of Gaussian to a set of one
                        dimensional points.
CNVtest.binary          Fits a mixture of Gaussian to CNV data
CNVtest.binary.T        CNV association testing using T distributions
CNVtest.qt              Fits a mixture of Gaussian to CNV data
CNVtest.qt.T            Fits a mixture of Gaussian to CNV data
CNVtest.select.model    Select number of components in a CNV
CNVtools-package        CNVtools : CNV association studies
EM.starting.point       Randomly assigns a starting point for the EM
                        algorithm
ExpandData              Expands a CNV input data frame for the maximum
                        likelihood routines
apply.ldf               Applies a canonical correlation transformation
                        to the data
apply.pca               Applies to the data a principal component
                        analysis
cnv.plot                Plots posterior probabilty distributions
compact.data.frame      Compacts the expanded data frame format needed
                        by our fitting procedure
get.model.spec          Get model specifications (internal function)
getQualityScore         Computes a quality score for a CNV fit
getparams               Return mixture parameters
qt.plot                 Makes signal vs trait plots and posterior
                        probabilty distributions
test.posterior          Checks posterior probabilities are monotonic.
