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  "Description": "New tools for the imputation of missing values in\nhigh-dimensional data are introduced using the non-parametric\nnearest neighbor methods. It includes weighted nearest neighbor\nimputation methods that use specific distances for selected\nvariables. It includes an automatic procedure of cross\nvalidation and does not require prespecified values of the\ntuning parameters. It can be used to impute missing values in\nhigh-dimensional data when the sample size is smaller than the\nnumber of predictors. For more information see Faisal and Tutz\n(2017) <doi:10.1515/sagmb-2015-0098>.",
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