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stressor
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]
[Scholar Profile | Author Map]
All associated links for this package
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 01 Feb. 2025.
Previous versions and publish date:
0.1.0 (2024-01-31 15:40)
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Other R packages that stressor depends,
imports, suggests or enhances
Complete documentation for stressor
Functions, R codes and Examples using
the stressor R package
Some associated functions: boston . create_groups . create_virtualenv . cv . cv_cluster . cv_core . data_gen_asym . data_gen_lm . data_gen_sine . dist_cent . kappa_class . mlm_classification . mlm_init . mlm_refit . mlm_regressor . predict . python_avail . reg_asym . reg_sine . rmse . score . score_classification . score_regression . split_data_prob . thinning .
Some associated R codes: create_groups.R . create_virtualenv.R . cv.R . cv_cluster.R . cv_core.R . cv_lm.R . cv_mlm_stressor.R . cv_reg_asym.R . cv_reg_sine.R . data.R . data_gen_asym.R . data_gen_lm.R . data_gen_sine.R . dist_center.R . globals.R . helper_functions.R . mlm_classification.R . mlm_init.R . mlm_refit.R . mlm_regressor.R . predict.R . predict_mlm_stressor.R . predict_reg_asym.R . predict_reg_sine.R . reg_asym.R . reg_sine.R . score.R . score_classification.R . score_regression.R . split_data_prob.R . thinning.R . Full stressor package functions and examples
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