Other packages > Find by keyword >

metaEnsembleR  

Automated Intuitive Package for Meta-Ensemble Learning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("metaEnsembleR", "0.1.0")



Attach the package and use:
library("metaEnsembleR")
Maintained by
Ajay Arunachalam
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-11-19
Latest Update: 2020-11-19
Description:
Extends the base classes and methods of 'caret' package for integration of base learners. The user can input the number of different base learners, and specify the final learner, along with the train-validation-test data partition split ratio. The predictions on the unseen new data is the resultant of the ensemble meta-learning of the heterogeneous learners aimed to reduce the generalization error in the predictive models. It significantly lowers the barrier for the practitioners to apply heterogeneous ensemble learning techniques in an amateur fashion to their everyday predictive problems.
How to cite:
Ajay Arunachalam (2020). metaEnsembleR: Automated Intuitive Package for Meta-Ensemble Learning. R package version 0.1.0, https://cran.r-project.org/web/packages/metaEnsembleR. Accessed 05 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited metaEnsembleR R package
View metaEnsembleR citation profile
Other R packages that metaEnsembleR depends, imports, suggests or enhances
Complete documentation for metaEnsembleR
Functions, R codes and Examples using the metaEnsembleR R package
Some associated functions: ensembler.classifier . ensembler.regression . 
Some associated R codes: metaEnsemble.R .  Full metaEnsembleR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

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