'nrmse' computes the normalized root mean squared error for a given
complete data matrix, imputed data matrix and the data matrix containing
missing values.
Usage
nrmse(ximp, xmis, xtrue)
Arguments
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.
Value
see Title.
Note
The NRMSE can only be computed for continuous data. For categorical or
mixed-type data see mixError.
This function is internally used by mixError.
Author(s)
Daniel J. Stekhoven, <stekhoven@stat.math.ethz.ch>
References
Oba et al. (2003), 'A Bayesian missing value estimation method for gene
expression profile data', Bioinformatics, 19(16), 2088-2096