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.

Install the latest version of this package by entering the following in R:
install.packages("MissingDataGUI")
AuthorXiaoyue Cheng, Dianne Cook, Heike Hofmann
Date of publication2016-04-25 08:58:53
MaintainerXiaoyue Cheng <xycheng@unomaha.edu>
LicenseGPL (>= 2.0)
Version0.2-5

View on CRAN

Files

inst
inst/CITATION
inst/doc
inst/doc/introduction.Rnw
inst/doc/introduction.pdf
NAMESPACE
NEWS
data
data/brfss.rda
data/tao.rda
R
R/imputation.r R/WatchMissingValues.r R/MissingDataGUI.r R/utils.r R/MissingDataGUI-package.r
vignettes
vignettes/introduction.Rnw
README.md
MD5
build
build/vignette.rds
DESCRIPTION
man
man/compute_missing_pct.Rd man/scale_colour_discrete.Rd man/MissingDataGUI-package.Rd man/WatchMissingValues.Rd man/tao.Rd man/scale_fill_discrete.Rd man/brfss.Rd man/MissingDataGUI.Rd man/imputation.Rd

Questions? Problems? Suggestions? or email at ian@mutexlabs.com.

Please suggest features or report bugs with the GitHub issue tracker.

All documentation is copyright its authors; we didn't write any of that.