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Rforestry  

Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Rforestry", "0.10.0")



Attach the package and use:
library("Rforestry")
Maintained by
Theo Saarinen
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-04-02
Latest Update: 2023-03-25
Description:
Provides fast implementations of Honest Random Forests, Gradient Boosting, and Linear Random Forests, with an emphasis on inference and interpretability. Additionally contains methods for variable importance, out-of-bag prediction, regression monotonicity, and several methods for missing data imputation. Soren R. Kunzel, Theo F. Saarinen, Edward W. Liu, Jasjeet S. Sekhon (2019) .
How to cite:
Theo Saarinen (2021). Rforestry: Random Forests, Linear Trees, and Gradient Boosting for Inference and Interpretability. R package version 0.10.0, https://cran.r-project.org/web/packages/Rforestry. Accessed 03 Dec. 2024.
Previous versions and publish date:
0.9.0.4 (2021-04-02 10:30), 0.9.0.40 (2021-06-03 08:10), 0.9.0.47 (2021-07-05 11:00), 0.9.0.57 (2021-09-02 14:00), 0.9.0.72 (2022-01-20 23:32), 0.9.0.95 (2022-03-09 11:10), 0.9.0.116 (2022-07-21 17:10), 0.9.0.144 (2022-12-01 05:40), 0.9.0.152 (2022-12-21 11:10)
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Complete documentation for Rforestry
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