impute.MinProb

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

dataSet.mvs

the q-th quantile used to estimate the minimum 
value observed for each sample

coefficient that controls the sd of the MNAR distribution

tune.sigma

This function performs missing values imputation by random draws from a gaussian

A collection of functions for left-censored missing data imputation. Left-censoring is a special case of missing not at random (MNAR)  mechanism that generates non-responses in proteomics experiments. The package also contains functions to artificially generate peptide/protein expression data (log-transformed) as random draws from a multivariate Gaussian distribution as well as a function to generate missing data (both randomly and non-randomly). For comparison reasons, the package also contains several wrapper functions for the imputation of non-responses that are missing at random. * New functionality has been added: a hybrid method that allows the imputation of missing values in a more complex scenario where the missing data are both MAR and MNAR.

impute.MinProb: Imputation by random draws

Description

Usage

Arguments

Value