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imputeLCMD
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Download and install imputeLCMD package within the R console
Install from CRAN:
install.packages("imputeLCMD")
Install from Github:
library("remotes")
install_github("cran/imputeLCMD") Install by package version:
library("remotes")
install_version("imputeLCMD", "2.1") Attach the package and use:
library("imputeLCMD")
Maintained by
Samuel Wieczorek
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First Published: 2014-07-13
Latest Update: 2022-06-10
Description:
A collection of functions for left-censored missing data imputation. Left-censoring is a special case of missing not at random (MNAR) mechanism that generates non-responses in proteomics experiments. The package also contains functions to artificially generate peptide/protein expression data (log-transformed) as random draws from a multivariate Gaussian distribution as well as a function to generate missing data (both randomly and non-randomly). For comparison reasons, the package also contains several wrapper functions for the imputation of non-responses that are missing at random. * New functionality has been added: a hybrid method that allows the imputation of missing values in a more complex scenario where the missing data are both MAR and MNAR.
How to cite:
Samuel Wieczorek (2014). imputeLCMD: A Collection of Methods for Left-Censored Missing Data Imputation. R package version 2.1, https://cran.r-project.org/web/packages/imputeLCMD. Accessed 15 Jul. 2026.
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Complete documentation for imputeLCMD
Functions, R codes and Examples using
the imputeLCMD R package
Some associated functions: generate.ExpressionData . generate.RollUpMap . impute.MAR.MNAR . impute.MAR . impute.MinDet . impute.MinProb . impute.QRILC . impute.ZERO . impute.wrapper.KNN . impute.wrapper.MLE . impute.wrapper.SVD . insertMVs . intensity_PXD000022 . intensity_PXD000052 . intensity_PXD000438 . intensity_PXD000501 . model.Selector . pep2prot .
Some associated R codes: doc-data.R . generatePepData.R . generateRollUpMap.R . impKNN.R . impMLE.R . impMinDet.R . impMinProb.R . impQRILC.R . impSVD.R . impZERO.R . imputeMAR-MNAR.R . imputeMAR.R . insertMVs.R . modelSelector.R . pep2protRollUp.R . Full imputeLCMD package functions and examples
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