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CoOL  

Causes of Outcome Learning
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]
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 21 Nov. 2024.
Previous versions and publish date:
1.0.1 (2021-02-23 16:10), 1.0.2 (2021-06-30 15:00), 1.0.3 (2021-07-16 15:40), 1.0 (2021-02-12 11:10)
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Complete documentation for CoOL
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