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toweranNA  

A Method for Handling Missing Values in Prediction Applications
View on CRAN: Click here


Download and install toweranNA package within the R console
Install from CRAN:
install.packages("toweranNA")

Install from Github:
library("remotes")
install_github("cran/toweranNA")

Install by package version:
library("remotes")
install_version("toweranNA", "0.1.0")



Attach the package and use:
library("toweranNA")
Maintained by
Norm Matloff
[Scholar Profile | Author Map]
First Published: 2023-03-15
Latest Update: 2023-03-15
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)).
How to cite:
Norm Matloff (2023). toweranNA: A Method for Handling Missing Values in Prediction Applications. R package version 0.1.0, https://cran.r-project.org/web/packages/toweranNA. Accessed 10 May. 2025.
Previous versions and publish date:
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Complete documentation for toweranNA
Functions, R codes and Examples using the toweranNA R package
Some associated functions: english . makeTower . towerTS . toweranNA . 
Some associated R codes: onAttach.R . toweranNA.R .  Full toweranNA package functions and examples
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