impute.MAR {imputeLCMD} | R Documentation |
imputation under MAR/MCAR hypothesis
Description
This function performs missing values imputation under MAR/MCAR hypothesis. The imputation of MVs is performed for each protein containing MAR/MCAR missing values
Usage
impute.MAR(dataSet.mvs, model.selector, method = "MLE")
Arguments
dataSet.mvs |
expression matrix containing abundances with MVs (either peptides or proteins) |
model.selector |
binary vector; "1" indicates MAR/MCAR proteins |
method |
the method to be used for MAR/MCAR missing values. Possible values: MLE (default), SVD, KNN |
Value
dataset containing only MNAR (assumed to be left-censored) missing data
[Package imputeLCMD version 2.1 Index]