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AugmenterR  

Data Augmentation for Machine Learning on Tabular Data
View on CRAN: Click here


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

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

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



Attach the package and use:
library("AugmenterR")
Maintained by
Rafael S. Pereira
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-03-18
Latest Update: 2021-03-18
Description:
Implementation of a data augmentation technique based on conditional entropy It was devised by both authors during their masters and is discussed in detail in the second author dissertation. It is able to create novel samples conditioned on a desired value of a categorical attribute, as a way to augment data for classification tasks Tests discussed in the dissertation and future paper present that the technique satisfies several statistical assumptions for the novel samples. It also shows significant improvement for machine learning models trained on small data.
How to cite:
Rafael S. Pereira (2021). AugmenterR: Data Augmentation for Machine Learning on Tabular Data. R package version 0.1.0, https://cran.r-project.org/web/packages/AugmenterR. Accessed 28 Mar. 2025.
Previous versions and publish date:
0.1.0 (2021-03-18 10:00)
Other packages that cited AugmenterR R package
View AugmenterR citation profile
Other R packages that AugmenterR depends, imports, suggests or enhances
Functions, R codes and Examples using the AugmenterR R package
Some associated functions: Generate . GenerateASingleCandidate . GenerateMultipleCandidates . ObtainCandidate . 
Some associated R codes: Functions.R .  Full AugmenterR package functions and examples
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