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Currently, the LOD imputation procedure calculates the full covariance matrix prior to each round of imputation, which wastes both computing time and memory. I think it should be possible to rewrite the function so that it computes only the subset of the covariance matrix that it needs, which should speed things up substantially.
The text was updated successfully, but these errors were encountered:
Currently, the LOD imputation procedure calculates the full covariance matrix prior to each round of imputation, which wastes both computing time and memory. I think it should be possible to rewrite the function so that it computes only the subset of the covariance matrix that it needs, which should speed things up substantially.
The text was updated successfully, but these errors were encountered: