MissingDataGUI: A GUI for Missing Data Exploration

Provides numeric and graphical summaries for the missing values from both categorical and quantitative variables. A variety of imputation methods are applied, including the univariate imputations like fixed or random values, multivariate imputations like the nearest neighbors and multiple imputations, and imputations conditioned on a categorical variable.

Package details

AuthorXiaoyue Cheng, Dianne Cook, Heike Hofmann
MaintainerXiaoyue Cheng <xycheng@unomaha.edu>
LicenseGPL (>= 2.0)
Version0.2-5
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("MissingDataGUI")

Try the MissingDataGUI package in your browser

Any scripts or data that you put into this service are public.

MissingDataGUI documentation built on May 1, 2019, 10:14 p.m.