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 into more compact and
                        user friendly version
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.
