impute.QRILC: imputation based on quantile regression
In imputeLCMD: A Collection of Methods for Left-Censored Missing Data Imputation
impute.QRILC R Documentation
imputation based on quantile regression
Description
this function performs missing values imputation based quantile regression
Usage
impute.QRILC(dataSet.mvs, tune.sigma = 1)
Arguments
dataSet.mvs
expression matrix with MVs (either peptides or proteins)
tune.sigma
coefficient that controls the sd of the MNAR distribution
Value
a list containing: a matrix with the
complete abundances, a list with the
estimated parameters of the complete
data distribution
imputeLCMD documentation built on June 10, 2022, 5:09 p.m.
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| impute.QRILC | R Documentation |
imputation based on quantile regression
Description
this function performs missing values imputation based quantile regression
Usage
impute.QRILC(dataSet.mvs, tune.sigma = 1)
Arguments
dataSet.mvs |
expression matrix with MVs (either peptides or proteins) |
tune.sigma |
coefficient that controls the sd of the MNAR distribution |
Value
a list containing: a matrix with the complete abundances, a list with the estimated parameters of the complete data distribution
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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