Other packages > Find by keyword >

inTrees  

Interpret Tree Ensembles
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("inTrees", "1.4")



Attach the package and use:
library("inTrees")
Maintained by
Houtao Deng
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2014-07-14
Latest Update: 2022-05-31
Description:
For tree ensembles such as random forests, regularized random forests and gradient boosted trees, this package provides functions for: extracting, measuring and pruning rules; selecting a compact rule set; summarizing rules into a learner; calculating frequent variable interactions; formatting rules in latex code. Reference: Interpreting tree ensembles with inTrees (Houtao Deng, 2019, ).
How to cite:
Houtao Deng (2014). inTrees: Interpret Tree Ensembles. R package version 1.4, https://cran.r-project.org/web/packages/inTrees. Accessed 07 Nov. 2024.
Previous versions and publish date:
1.0 (2014-07-14 23:25), 1.1 (2014-07-25 07:42), 1.2 (2018-03-12 06:35), 1.3 (2022-06-01 01:00)
Other packages that cited inTrees R package
View inTrees citation profile
Other R packages that inTrees depends, imports, suggests or enhances
Complete documentation for inTrees
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

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  
robregcc  
Robust Regression with Compositional Covariates
We implement the algorithm estimating the parameters of the robust regression model with composition ...
Download / Learn more Package Citations See dependency  
con2aqi  
Calculate the AQI from Pollutant Concentration
To calculate the AQI (Air Quality Index) from pollutant concentration data. O3, PM2.5, PM10, CO, SO ...
Download / Learn more Package Citations See dependency  
bacondecomp  
Goodman-Bacon Decomposition
Decomposition for differences-in-differences with variation in treatment timing from Goodman-Bacon ...
Download / Learn more Package Citations See dependency  

23,092

R Packages

198,677

Dependencies

62,675

Author Associations

23,089

Publication Badges

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