Imputing missing values using the EM algorithm proposed in section 5.4.1 of Schafer (1997). The function is based on the imp.norm function of the R package norm.
A data matrix containing numeric and missing values. Each column of this matrix is assumed to correspond to an experimental sample, and each row to an identified peptide.
A vector of factors indicating the biological condition to which each sample belongs.
See section 5.4.1 of Schafer (1997) for the theory. It is built from functions proposed in the R package norm.
The input matrix
tab with imputed values instead of missing values.
Quentin Giai Gianetto <firstname.lastname@example.org>
Schafer, J. L. (1997). Analysis of incomplete multivariate data. Chapman and Hall/CRC.
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