impseq: Sequential imputation of missing values

In rrcovNA: Scalable Robust Estimators with High Breakdown Point for Incomplete Data

Sequential imputation of missing values

Description

Impute missing multivariate data using sequential algorithm

Usage

impSeq(x)

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.

Value

a matrix of the same form as x, but with all missing values filled in sequentially.

References

S. Verboven, K. Vanden Branden and P. Goos (2007). Sequential imputation for missing values. Computational Biology and Chemistry, 31, 320–327.

Examples

    data(bush10)
    impSeq(bush10) # impute squentially missing data

rrcovNA documentation built on Sept. 11, 2024, 8:12 p.m.