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stressor  

Algorithms for Testing Models under Stress
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("stressor", "0.2.0")



Attach the package and use:
library("stressor")
Maintained by
Sam Haycock
[Scholar Profile | Author Map]
First Published: 2024-01-31
Latest Update: 2024-01-31
Description:
Traditional model evaluation metrics fail to capture model performance under less than ideal conditions. This package employs techniques to evaluate models "under-stress". This includes testing models' extrapolation ability, or testing accuracy on specific sub-samples of the overall model space. Details describing stress-testing methods in this package are provided in Haycock (2023) <doi:10.26076/2am5-9f67>. The other primary contribution of this package is provided to R users access to the 'Python' library 'PyCaret' <https://pycaret.org/> for quick and easy access to auto-tuned machine learning models.
How to cite:
Sam Haycock (2024). stressor: Algorithms for Testing Models under Stress. R package version 0.2.0, https://cran.r-project.org/web/packages/stressor. Accessed 09 Apr. 2025.
Previous versions and publish date:
0.1.0 (2024-01-31 15:40)
Other packages that cited stressor R package
View stressor citation profile
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Complete documentation for stressor
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