impute.MinProb: Imputation by random draws
In imputeLCMD: A Collection of Methods for Left-Censored Missing Data Imputation
impute.MinProb R Documentation
Imputation by random draws
Description
This function performs missing values imputation by random draws from a gaussian
Usage
impute.MinProb(dataSet.mvs, q = 0.01, tune.sigma = 1)
Arguments
dataSet.mvs
expression matrix containing abundances with
MVs (either peptides or proteins)
q
the q-th quantile used to estimate the minimum
value observed for each sample
tune.sigma
coefficient that controls the sd of the MNAR distribution
Value
dataset containing complete abundances
imputeLCMD documentation built on June 10, 2022, 5:09 p.m.
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| impute.MinProb | R Documentation |
Imputation by random draws
Description
This function performs missing values imputation by random draws from a gaussian
Usage
impute.MinProb(dataSet.mvs, q = 0.01, tune.sigma = 1)
Arguments
dataSet.mvs |
expression matrix containing abundances with MVs (either peptides or proteins) |
q |
the q-th quantile used to estimate the minimum value observed for each sample |
tune.sigma |
coefficient that controls the sd of the MNAR distribution |
Value
dataset containing complete abundances
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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