Binmat-class            On-Disk Matrix Class Using On-Demand Disk Reads
Cardinal-package        Mass spectrometry imaging tools
Hashmat-class           Sparse Matrix Class Using Lists as Hash Tables
IAnnotatedDataFrame-class
                        Class Containing Measured Variables and Their
                        Meta-Data Description for Imaging Experiments
ImageData-class         Class Containing Arrays of Imaging Data
MIAPE-Imaging-class     Class for Storing Mass Spectrometry Imaging
                        Experiment Information
MSImageData-class       Class Containing Mass Spectrometry Image Data
MSImageProcess-class    Class Containing Mass Spectral Pre-Processing
                        Information
MSImageSet-class        Class to Contain Mass Spectrometry Imaging
                        Experiment Data
OPLS-methods            Orthogonal Partial Least Squares
PCA-methods             Principal Components Analysis
PLS-methods             Partial Least Squares
ResultSet-class         Class to Contain Analysis Results for Imaging
                        Experiments
SImageData-class        Class Containing Sparse Image Data
SImageSet-class         Class to Contain Pixel-Sparse Imaging Data
batchProcess-methods    Batch Pre-Processing on an Imaging Dataset
coord-methods           Retrieve Pixel Coordinates from iSets
coregister-methods      Coregister Images
cvApply-methods         Apply Cross-Validated Analysis to Imaging
                        Datasets
generateImage           Generate a Simulated Image
generateSpectrum        Generate a Simulated Spectrum
iSet-class              Class to Contain High-Throughput Imaging
                        Experiment Data and Metadata
image-methods           Plot the Pixel-Space of an Imaging Dataset
imageData-methods       Retrieve Image Data from iSets
intensity.colors        Color Palettes for Imaging
mz-methods              Retrieve m/z-values from MSImageSets
normalize-methods       Normalize an Imaging Dataset
peakAlign-methods       Peak Align an Imaging Dataset
peakFilter-methods      Peak Filter an Imaging Dataset
peakPick-methods        Peak Pick an Imaging Dataset
pixelApply-methods      Apply Functions over Imaging Datasets
pixelData-methods       Retrieve Information on Pixels in iSet-derived
                        Classes
pixelNames-methods      Retrieve Pixel Names from iSets
pixels-methods          Retrieve Pixel or Feature Indices Based on
                        Metadata
plot-methods            Plot the Feature-Space of an Imaging Dataset
processingData-methods
                        Retrieve Pre-Processing Information from
                        MSImageSets
readMSIData             Read Mass Spectrometry Imaging Data Files
reduceBaseline-methods
                        Reduce the Baseline for an Imaging Dataset
reduceDimension-methods
                        Reduce the Dimension of an Imaging Dataset
select-methods          Select Regions of an Imaging Dataset
smoothSignal-methods    Smooth the Feature-Vectors of an Imaging
                        Dataset
spatialKMeans-methods   Spatially-Aware K-Means Clustering
spatialShrunkenCentroids-methods
                        Spatially-Aware Shrunken Centroid Clustering
                        and Classification
standardizeSamples-methods
                        Standardize the Samples in an Imaging Dataset
topLabels-methods       Retrieve Top-Ranked Labels from Analysis
                        Results
