ZeroTruncatedBinomial   Zero-Truncated Binomial Distribution
completeMomentsON       Complete Distribution Moments from Observed
                        Normal Model
dpc                     Detection Probability Curve Assuming Observed
                        Normal Model
dpcCN                   Detection Probability Curve Assuming Complete
                        Normal Model
dpcDE                   Fit Linear Model With Precision Weights
dpcQuant                Quantify Proteins Using the DPC
dpcQuantHyperparam      Estimate Hyperparameters for DPC-Quant
estimateDPCIntercept    Estimate DPC Intercept
filterCompoundProteins
                        Filtering Based On Protein Annotation
fitZTLogit              Fit Capped Logistic Regression To
                        Zero-Truncated Binomial Data
imputeByExpTilt         Impute Missing Values by Exponential Tilting
limpa-package           Linear Models for Proteomics Data (Accounting
                        for Missing Values)
observedMomentsCN       Observed Distribution Moments from Complete
                        Normal Model
peptides2ProteinBFGS    DPC-Quant for One Protein
peptides2Proteins       DPC-Quant for Many Proteins
plotDPC                 Plot the Detection Probability Curve
plotMDSUsingSEs         Multidimensional Scaling Plot of Gene
                        Expression Profiles, Using Standard Errors
plotPeptides            Plot Peptide Log-Intensities for One Protein
plotProtein             Plot protein summary with error bars by
                        DPC-Quant
proteinResVarFromCompletePeptideData
                        Protein Residual Variances From Complete
                        Peptide Data
readDIANN               Read Peptide-Precursor Intensities From DIA-NN
                        Output
readSpectronaut         Read Peptide-Precursor Intensities From
                        Spectronaut Output
removeNARows            Remove Entirely NA Rows from Matrix or EList
simCompleteDataON       Simulate Complete Data From Complete or
                        Observed Normal Models
simProteinDataSet       Simulate Peptide Data with NAs By Complete
                        Normal Model
voomaLmFitWithImputation
                        Apply vooma-lmFit Pipeline With Automatic
                        Estimation of Sample Weights and Block
                        Correlation
