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rfinterval  

Predictive Inference for Random Forests
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rfinterval", "1.0.0")



Attach the package and use:
library("rfinterval")
Maintained by
Haozhe Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-07-18
Latest Update: 2019-07-18
Description:
An integrated package for constructing random forest prediction intervals using a fast implementation package 'ranger'. This package can apply the following three methods described in Haozhe Zhang, Joshua Zimmerman, Dan Nettleton, and Daniel J. Nordman (2019) : the out-of-bag prediction interval, the split conformal method, and the quantile regression forest.
How to cite:
Haozhe Zhang (2019). rfinterval: Predictive Inference for Random Forests. R package version 1.0.0, https://cran.r-project.org/web/packages/rfinterval. Accessed 06 Nov. 2024.
Previous versions and publish date:
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Complete documentation for rfinterval
Functions, R codes and Examples using the rfinterval R package
Some associated functions: BeijingPM25 . rfinterval . sim_data . 
Some associated R codes: data.R . rfinterval.R . sim_data.R .  Full rfinterval package functions and examples
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