ScpModel                Class to store the results of single-cell
                        proteomics modelling
ScpModel-DataCorrection
                        Correct single-cell proteomics data
ScpModel-DifferentialAnalysis
                        Differential abundance analysis for single-cell
                        proteomics
ScpModel-VarianceAnalysis
                        Analysis of variance for single-cell proteomics
ScpModel-Workflow       Modelling single-cell proteomics data
ScpModelFit             Class to store the components of an estimated
                        model for a feature
addReducedDims          Add scplainer Component Analysis Results
aggregateFeaturesOverAssays
                        Aggregate features over multiple assays
computeSCR              Compute the sample over carrier ratio (SCR)
cumulativeSensitivityCurve
                        Cumulative sensitivity curve
divideByReference       Divide assay columns by a reference column
jaccardIndex            Compute the pairwise Jaccard index
leduc_minimal           Minimally processed single-cell proteomics data
                        set
medianCVperCell         Compute the median coefficient of variation
                        (CV) per cell
mqScpData               Example MaxQuant/SCoPE2 output
normalizeSCP            Normalize single-cell proteomics (SCP) data
pep2qvalue              Compute q-values
readSCP                 Read single-cell proteomics tabular data
reportMissingValues     Four metrics to report missing values
sampleAnnotation        Single cell sample annotation
scp1                    Single Cell QFeatures data
scpAnnotateResults      Annotate single-cell proteomics analysis output
scpModelComponentMethods
                        Component analysis for single cell proteomics
