A Mutual Information-Weighted k-NN Imputation Algorithm

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Documentation for package ‘wkNNMI’ version 1.0.0

• DESCRIPTION file.
• Package NEWS.

Help Pages

impute.subject	The function performs k-Nearest Neighbours imputation weighted with Mutual Information between features.
impute.wknn	The function performs k-Nearest Neighbours imputation weighted with Mutual Information between features.
new.patient	Example dataset containing 2 visits of a hypothetical patient with amyotrophic lateral sclerosis (ALS).
patient.data	Example dataset containing 89 visits of 11 hypothetical patients with amyotrophic lateral sclerosis (ALS).
wkNNMI	wkNNMI: An Adaptive Mutual Information-Weighted k-NN Algorithm for the Imputation of Static and Dynamic Mixed-Type Data