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toweranNA
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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
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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 05 Jan. 2025.
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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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