A collection of methods for left-censored missing data imputation

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Documentation for package ‘imputeLCMD’ version 2.0

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generate.ExpressionData Generate Peptide/Protein Expression Data
generate.RollUpMap Generates peptide to protein map.
impute.MAR Generic function for the imputation of MAR/MCAR missing data
impute.MAR.MNAR Hybrid imputation method
impute.MinDet Imputation of left-censored missing data using a deterministic minimal value approach.
impute.MinProb Imputation of left-censored missing data using stochastic minimal value approach.
impute.QRILC Imputation of left-censored missing data using QRILC method.
impute.wrapper.KNN Wrapper function for KNN imputation.
impute.wrapper.MLE MLE-based imputation of missing data.
impute.wrapper.SVD SVD-based imputation.
impute.ZERO Imputation of missing entries by '0'.
insertMVs Generates missing data in a complete data matrix.
intensity_PXD000022 Dataset PXD000022 from ProteomeXchange.
intensity_PXD000052 Dataset PXD000052 from ProteomeXchange.
intensity_PXD000438 Dataset PXD000438 from ProteomeXchange.
intensity_PXD000501 Dataset PXD000501 from ProteomeXchange.
model.Selector Model selector for hybrid missing data imputation
pep2prot Peptide to protein mapping.