model.Selector: Identifies row in the data matrix affected by a MNAR...

In imputeLCMD: A Collection of Methods for Left-Censored Missing Data Imputation

Identifies row in the data matrix affected by a MNAR missingness mechanism

Description

- this function determines row in the data matrix affected by a MNAR missingness mechanism - it is based on the assumption that the distributions of the mean values of proteins follows a normal distribution - the method makes use of a decision function defined as a tradeoff between the empirical CDF of the proteins' means and the theoretical CDF assuming that no MVs are present

Usage

model.Selector(dataSet.mvs)

Arguments

dataSet.mvs

expression matrix containing abundances with MVs (either peptides or proteins)

Value

flags vector; "1" denotes rows containing random missing values; "0" denotes rows containing left-censored missing values

imputeLCMD documentation built on June 10, 2022, 5:09 p.m.