Other packages > Find by keyword >

EBcoBART  

Co-Data Learning for Bayesian Additive Regression Trees
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("EBcoBART", "1.1.0")



Attach the package and use:
library("EBcoBART")
Maintained by
Jeroen M. Goedhart
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-09-02
Latest Update: 2024-09-03
Description:
Estimate prior variable weights for Bayesian Additive Regression Trees (BART). These weights correspond to the probabilities of the variables being selected in the splitting rules of the sum-of-trees. Weights are estimated using empirical Bayes and external information on the explanatory variables (co-data). BART models are fitted using the 'dbarts' 'R' package. See Goedhart and others (2023) <doi:10.48550/arXiv.2311.09997> for details.
How to cite:
Jeroen M. Goedhart (2024). EBcoBART: Co-Data Learning for Bayesian Additive Regression Trees. R package version 1.1.0, https://cran.r-project.org/web/packages/EBcoBART. Accessed 22 Dec. 2024.
Previous versions and publish date:
1.0.1 (2024-09-02 23:50), 1.0.2 (2024-09-03 18:00)
Other packages that cited EBcoBART R package
View EBcoBART citation profile
Other R packages that EBcoBART depends, imports, suggests or enhances
Complete documentation for EBcoBART
Functions, R codes and Examples using the EBcoBART R package
Full EBcoBART package functions and examples
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

tropAlgebra  
Tropical Algebraic Functions
It includes functions like tropical addition, tropical multiplication for vectors and matrices. In t ...
Download / Learn more Package Citations See dependency  
LOGANTree  
Tree-Based Models for the Analysis of Log Files from Computer-Based Assessments
Enables researchers to model log-file data from computer-based assessments using machine-learning te ...
Download / Learn more Package Citations See dependency  
Maintainer: Qi Qin (view profile)
composits  
Compositional, Multivariate and Univariate Time Series Outlier Ensemble
A compositional multivariate and univariate time series outlier ensemble.It uses the four R packages ...
Download / Learn more Package Citations See dependency  
wordspace  
Distributional Semantic Models in R
An interactive laboratory for research on distributional semantic models ('DSM', see < ...
Download / Learn more Package Citations See dependency  
dmlalg  
Double Machine Learning Algorithms
Implementation of double machine learning (DML) algorithms in R, based on Emmenegger and Buehlmann ...
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  

23,394

R Packages

201,798

Dependencies

63,416

Author Associations

23,395

Publication Badges

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