A package to test genetic association with CNV data

Documentation for package ‘CNVtools’ version 1.80.0

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