Other packages > Find by keyword >

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]
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 17 Apr. 2025.
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), 0.10.0 (2023-03-25 01:50), 0.11.0.0 (2025-03-13 09:20)
Other packages that cited Rforestry R package
View Rforestry citation profile
Other R packages that Rforestry depends, imports, suggests or enhances
Complete documentation for Rforestry
Downloads during the last 30 days
03/1803/1903/2003/2103/2203/2303/2403/2503/2603/2703/2803/2903/3003/3104/0104/0204/0304/0404/0504/0604/0704/0804/0904/1004/1104/1204/1304/14Downloads for Rforestry510152025303540455055TrendBars

Today's Hot Picks in Authors and Packages

ZetaSuite  
Analyze High-Dimensional High-Throughput Dataset and Quality Control Single-Cell RNA-Seq
The advent of genomic technologies has enabled the generation of two-dimensional or even multi-dimen ...
Download / Learn more Package Citations See dependency  
nextGenShinyApps  
Craft Exceptional 'R Shiny' Applications and Dashboards with Novel Responsive Tools
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency  
ARCensReg  
Fitting Univariate Censored Linear Regression Model with Autoregressive Errors
It fits a univariate left, right, or interval censored linear regression model with autoregressive ...
Download / Learn more Package Citations See dependency  
puls  
Partitioning Using Local Subregions
A method of clustering functional data using subregion information of the curves. It is intended to ...
Download / Learn more Package Citations See dependency  
fixest  
Fast Fixed-Effects Estimations
Fast and user-friendly estimation of econometric models with multiple fixed-effects. Includes ordina ...
Download / Learn more Package Citations See dependency  
SmarterPoland  
Tools for Accessing Various Datasets Developed by the Foundation SmarterPoland.pl
Tools for accessing and processing datasets prepared by the Foundation SmarterPoland.pl. Among all: ...
Download / Learn more Package Citations See dependency  

24,012

R Packages

207,311

Dependencies

64,993

Author Associations

24,013

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA