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themis  

Extra Recipes Steps for Dealing with Unbalanced Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("themis", "1.0.3")



Attach the package and use:
library("themis")
Maintained by
Emil Hvitfeldt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-01-13
Latest Update: 2025-01-23
Description:
A dataset with an uneven number of cases in each class is said to be unbalanced. Many models produce a subpar performance on unbalanced datasets. A dataset can be balanced by increasing the number of minority cases using SMOTE 2011 <doi:10.48550/arXiv.1106.1813>, BorderlineSMOTE 2005 <doi:10.1007/11538059_91> and ADASYN 2008 <https://ieeexplore.ieee.org/document/4633969>. Or by decreasing the number of majority cases using NearMiss 2003 <https://www.site.uottawa.ca/~nat/Workshop2003/jzhang.pdf> or Tomek link removal 1976 <https://ieeexplore.ieee.org/document/4309452>.
How to cite:
Emil Hvitfeldt (2020). themis: Extra Recipes Steps for Dealing with Unbalanced Data. R package version 1.0.3, https://cran.r-project.org/web/packages/themis. Accessed 06 Mar. 2026.
Previous versions and publish date:
0.1.0 (2020-01-13 16:30), 0.1.1 (2020-05-17 09:30), 0.1.2 (2020-08-14 14:40), 0.1.3 (2020-11-12 08:00), 0.1.4 (2021-06-12 23:20), 0.2.0 (2022-03-30 08:50), 0.2.1 (2022-04-13 21:00), 0.2.2 (2022-05-12 00:30), 1.0.0 (2022-07-02 08:40), 1.0.1 (2023-04-15 01:00), 1.0.2 (2023-08-14 23:40)
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Complete documentation for themis
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