class:vsn               Class to contain result of a vsn fit
justvsn                 Wrapper functions for vsn
kidney                  Intensity data for 1 cDNA slide with two
                        adjacent tissue samples from a nephrectomy
                        (kidney)
logLik-methods          Calculate the log likelihood and its gradient
                        for the vsn model
lymphoma                Intensity data for 8 cDNA slides with CLL and
                        DLBL samples from the Alizadeh et al. paper in
                        Nature 2000
meanSdPlot              Plot row standard deviations versus row means
normalize.AffyBatch.vsn
                        Wrapper for vsn to be used as a normalization
                        method with expresso
predict,vsn-method      Apply the vsn transformation to data
sagmbSimulateData       Simulate data and assess vsn's parameter
                        estimation
scalingFactorTransformation
                        The transformation that is applied to the
                        scaling parameter of the vsn model
vsn                     Variance stabilization and calibration for
                        microarray data.
vsn-package             vsn
vsn2                    Fit the vsn model
vsnInput                Class to contain input data and parameters for
                        vsn functions
vsnPlotPar              Plot trajectories of calibration and
                        transformation parameters for a vsn fit
vsnh                    A function that transforms a matrix of
                        microarray intensities.