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CoOL
View on CRAN: Click
here
Download and install CoOL package within the R console
Install from CRAN:
install.packages("CoOL")
Install from Github:
library("remotes")
install_github("cran/CoOL") Install by package version:
library("remotes")
install_version("CoOL", "1.1.2") Attach the package and use:
library("CoOL")
Maintained by
Andreas Rieckmann
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-12
Latest Update: 2022-05-24
Description:
Implementing the computational phase of the Causes of Outcome Learning approach as described in Rieckmann, Dworzynski, Arras, Lapuschkin, Samek, Arah, Rod, Ekstrom. 2022. Causes of outcome learning: A causal inference-inspired machine learning approach to disentangling common combinations of potential causes of a health outcome. International Journal of Epidemiology . The optional 'ggtree' package can be obtained through Bioconductor.
How to cite:
Andreas Rieckmann (2021). CoOL: Causes of Outcome Learning. R package version 1.1.2, https://cran.r-project.org/web/packages/CoOL. Accessed 17 Jul. 2026.
Previous versions and publish date:
Other packages that cited CoOL R package
View CoOL citation profile
Other R packages that CoOL depends,
imports, suggests or enhances
Complete documentation for CoOL
Functions, R codes and Examples using
the CoOL R package
Some associated functions: CoOL_0_binary_encode_exposure_data . CoOL_0_common_simulation . CoOL_0_complex_simulation . CoOL_0_confounding_simulation . CoOL_0_mediation_simulation . CoOL_0_working_example . CoOL_1_initiate_neural_network . CoOL_2_train_neural_network . CoOL_3_plot_neural_network . CoOL_4_AUC . CoOL_4_predict_risks . CoOL_5_layerwise_relevance_propagation . CoOL_6_calibration_plot . CoOL_6_dendrogram . CoOL_6_individual_effects_matrix . CoOL_6_number_of_sub_groups . CoOL_6_sub_groups . CoOL_6_sum_of_individual_effects . CoOL_7_prevalence_and_mean_risk_plot . CoOL_8_mean_risk_contributions_by_sub_group . CoOL_9_visualised_mean_risk_contributions . CoOL_9_visualised_mean_risk_contributions_legend . CoOL_default . cpp_train_network_relu . random . rcpprelu . rcpprelu_neg . relu .
Some associated R codes: CoOL_functions.R . RcppExports.R . Full CoOL package functions and examples
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