empire:

An R package for estimation of missing data using penalized iterative regressions

An algorithm based on iterated linear regressions for estimating missing data is proposed. The performance of the proposed algorithm is compared with the performance of some algorithms for data imputation incorporated in the R program, and with the performance of the mean and median algorithms. Synthetic data and some databases in R program are considered.