impute.MAR: imputation under MAR/MCAR hypothesis
In imputeLCMD: A Collection of Methods for Left-Censored Missing Data Imputation
impute.MAR 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
imputeLCMD documentation built on June 10, 2022, 5:09 p.m.
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| impute.MAR | 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
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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