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DESCRIPTION
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DESCRIPTION
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Package: toweranNA
Title: A Method for Handling Missing Values in Prediction Applications
Version: 1.0
Authors@R: c(person("Norm", "Matloff", email = "nsmatloff@ucdavis.edu",
role = c("aut", "cre"), comment = c(ORCID = "0000-0001-9179-6785")),
person("Pete", "Mohanty", email = "pete.mohanty@gmail.com",
role = c("aut"), comment = c(ORCID = "0000-0001-8531-3345")))
Maintainer: Norm Matloff <nsmatloff@ucdavis.edu>
Depends: R (>= 3.6.0),regtools (>= 0.8.0),rmarkdown
Imports: FNN, pdist, stats
Suggests: knitr
VignetteBuilder: knitr
License: GPL (>= 2)
Description: Non-imputational method for handling missing values in
a prediction context, meaning that not only are there missing
values in the training dataset, but also some values may be missing
in future cases to be predicted. Based on the notion of regression
averaging (Matloff (2017,ISBN 9781498710916)).
Encoding: UTF-8
URL: https://github.com/matloff/toweranNA
BugReports: https://github.com/matloff/toweranNA/issues
NeedsCompilation: no