Other packages > Find by keyword >

OOBCurve  

Out of Bag Learning Curve
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("OOBCurve", "0.3")



Attach the package and use:
library("OOBCurve")
Maintained by
Philipp Probst
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-24
Latest Update: 2018-08-30
Description:
Provides functions to calculate the out-of-bag learning curve for random forests for any measure that is available in the 'mlr' package. Supported random forest packages are 'randomForest' and 'ranger' and trained models of these packages with the train function of 'mlr'. The main function is OOBCurve() that calculates the out-of-bag curve depending on the number of trees. With the OOBCurvePars() function out-of-bag curves can also be calculated for 'mtry', 'sample.fraction' and 'min.node.size' for the 'ranger' package.
How to cite:
Philipp Probst (2017). OOBCurve: Out of Bag Learning Curve. R package version 0.3, https://cran.r-project.org/web/packages/OOBCurve. Accessed 07 Oct. 2026.
Previous versions and publish date:
0.1 (2017-02-24 17:31), 0.2 (2017-10-24 13:50), (2026-07-09 08:15)
Other packages that cited OOBCurve R package
View OOBCurve citation profile
Other R packages that OOBCurve depends, imports, suggests or enhances
Complete documentation for OOBCurve
Functions, R codes and Examples using the OOBCurve R package
Some associated functions: OOBCurve . OOBCurvePars . 
Some associated R codes: OOBCurve.R . OOBCurvePars.R .  Full OOBCurve package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

PairedData  
Paired Data Analysis
Many datasets and a set of graphics (based on ggplot2), statistics, effect sizes and hypothesis test ...
Download / Learn more Package Citations See dependency  
splm  
Econometric Models for Spatial Panel Data
ML and GM estimation and diagnostic testing of econometric models for spatial panel data. ...
Download / Learn more Package Citations See dependency  
skewlmm  
Scale Mixture of Skew-Normal Linear Mixed Models
It fits scale mixture of skew-normal linear mixed models using an expectation–maximization (EM) ty ...
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  
blandr  
Bland-Altman Method Comparison
Carries out Bland Altman analyses (also known as a Tukey mean-difference plot) as described by JM B ...
Download / Learn more Package Citations See dependency  
ggTimeSeries  
Time Series Visualisations Using the Grammar of Graphics
Provides additional display mediums for time series visualisations. ...
Download / Learn more Package Citations See dependency  

28,905

R Packages

247,686

Dependencies

76,495

Author Associations

28,906

Publication Badges

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