Normalized Root Mean Squared Error
'nrmse' computes the normalized root mean squared error for a given complete data matrix, imputed data matrix and the data matrix containing missing values.
nrmse(ximp, xmis, xtrue)
ximp |
imputed data matrix with variables in the columns and observations in the rows. Note there should not be any missing values. |
xmis |
data matrix with missing values. |
xtrue |
complete data matrix. Note there should not be any missing values. |
see Title.
The NRMSE can only be computed for continuous data. For categorical or
mixed-type data see mixError.
This function is internally used by mixError.
Daniel J. Stekhoven, <stekhoven@stat.math.ethz.ch>
Oba et al. (2003), 'A Bayesian missing value estimation method for gene expression profile data', Bioinformatics, 19(16), 2088-2096
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