chxy/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.

Getting started

Package details

AuthorXiaoyue Cheng, Dianne Cook, Heike Hofmann
MaintainerXiaoyue Cheng <xycheng@unomaha.edu>
LicenseGPL (>= 2.0)
Version0.2-5
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("remotes")
remotes::install_github("chxy/MissingDataGUI")
chxy/MissingDataGUI documentation built on May 13, 2019, 7:29 p.m.