Impute missing multivariate data using sequential algorithm
Usage
impSeq(x)
Value
a matrix of the same form as x, but with all missing values filled in sequentially.
Arguments
x
the original incomplete data matrix.
Details
SEQimpute starts from a complete subset of the data set Xc and estimates
sequentially the missing values in an incomplete observation,
say x*, by minimizing the determinant of the covariance of the augmented
data matrix X* = [Xc; x']. Then the observation x* is added to the complete data matrix
and the algorithm continues with the next observation with missing values.
References
S. Verboven, K. Vanden Branden and P. Goos (2007).
Sequential imputation for missing values.
Computational Biology and Chemistry, 31, 320--327.