Package: toweranNA
Title: A Method for Handling Missing Values in Prediction Applications
Version: 0.1.0
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
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
Packaged: 2023-03-14 19:41:18 UTC; normanmatloff
Author: Norm Matloff [aut, cre] (<https://orcid.org/0000-0001-9179-6785>),
  Pete Mohanty [aut] (<https://orcid.org/0000-0001-8531-3345>)
Repository: CRAN
Date/Publication: 2023-03-15 08:00:02 UTC
Built: R 4.6.0; ; 2026-04-25 14:05:31 UTC; unix
