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rtemis  

Machine Learning and Visualization
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rtemis", "1.2.7")



Attach the package and use:
library("rtemis")
Maintained by
E.D. Gennatas
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-03-26
Latest Update: 2026-03-26
Description:
Machine learning and visualization package with an 'S7' backend featuring comprehensive type checking and validation, paired with an efficient functional user-facing API. train(), cluster(), and decomp() provide one-call access to supervised and unsupervised learning. All configuration steps are performed using setup functions and validated. A single call to train() handles preprocessing, hyperparameter tuning, and testing with nested resampling. Supports 'data.frame', 'data.table', and 'tibble' inputs, parallel execution, and interactive visualizations. The package first appeared in E.D. Gennatas (2017) <https://repository.upenn.edu/entities/publication/d81892ea-3087-4b71-a6f5-739c58626d64>.
How to cite:
E.D. Gennatas (2026). rtemis: Machine Learning and Visualization. R package version 1.2.7, https://cran.r-project.org/web/packages/rtemis. Accessed 24 Oct. 2026.
Previous versions and publish date:
(2026-10-19 23:40), 1.0.0 (2026-03-26 11:00), 1.2.7 (2026-07-02 00:30)
Other packages that cited rtemis R package
View rtemis citation profile
Other R packages that rtemis depends, imports, suggests or enhances
Complete documentation for rtemis
Functions, R codes and Examples using the rtemis R package
Full rtemis package functions and examples
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