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piRF
View on CRAN: Click
here
Download and install piRF package within the R console
Install from CRAN:
install.packages("piRF")
Install from Github:
library("remotes")
install_github("cran/piRF")
Install by package version:
library("remotes")
install_version("piRF", "0.1.0")
Attach the package and use:
library("piRF")
Maintained by
Chancellor Johnstone
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-05-12
Latest Update: 2020-05-12
Description:
Implements multiple state-of-the-art prediction interval methodologies for random forests.
These include: quantile regression intervals, out-of-bag intervals, bag-of-observations intervals,
one-step boosted random forest intervals, bias-corrected intervals, high-density intervals, and
split-conformal intervals. The implementations include a combination of novel adjustments to the
original random forest methodology and novel prediction interval methodologies. All of these
methodologies can be utilized using solely this package, rather than a collection of separate
packages. Currently, only regression trees are supported. Also capable of handling high dimensional data.
Roy, Marie-Helene and Larocque, Denis (2019) .
Ghosal, Indrayudh and Hooker, Giles (2018) .
Zhu, Lin and Lu, Jiaxin and Chen, Yihong (2019) .
Zhang, Haozhe and Zimmerman, Joshua and Nettleton, Dan and Nordman, Daniel J. (2019) .
Meinshausen, Nicolai (2006) .
Romano, Yaniv and Patterson, Evan and Candes, Emmanuel (2019) .
Tung, Nguyen Thanh and Huang, Joshua Zhexue and Nguyen, Thuy Thi and Khan, Imran (2014) .
How to cite:
Chancellor Johnstone (2020). piRF: Prediction Intervals for Random Forests. R package version 0.1.0, https://cran.r-project.org/web/packages/piRF. Accessed 21 Dec. 2024.
Previous versions and publish date:
0.1.0 (2020-05-12 11:50)
Other packages that cited piRF R package
View piRF citation profile
Other R packages that piRF depends,
imports, suggests or enhances
Functions, R codes and Examples using
the piRF R package
Some associated functions: CQRF . GHVar . GhosalBoostRF . HDI_quantregforest . RoyRF . TungUbRF . airfoil . boostStage . calibrate . genBOP . genCHDInt . genCombRF . genHDInt . genRF . genWeights . genqInt . parse.formula . predictionUbRF . rfint .
Some associated R codes: Ghosal_Hooker_2018.R . HDI_quantregforest.R . Romano_Patterson_Candes_2018.R . Roy_Larocque_2019.R . Tung_Huang_Nyugen_Khan_2014.R . airfoil.R . calibrate.R . combined.R . formula.R . Full piRF package functions and examples
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