Other packages > Find by keyword >

rbart  

Bayesian Trees for Conditional Mean and Variance
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("rbart", "1.0")



Attach the package and use:
library("rbart")
Maintained by
Robert McCulloch
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-08-01
Latest Update:
Description:
A model of the form Y = f(x) + s(x) Z is fit where functions f and s are modeled with ensembles of trees and Z is standard normal. This model is developed in the paper 'Heteroscedastic BART Via Multiplicative Regression Trees' (Pratola, Chipman, George, and McCulloch, 2019, ). BART refers to Bayesian Additive Regression Trees. See the R-package 'BART'. The predictor vector x may be high dimensional. A Markov Chain Monte Carlo (MCMC) algorithm provides Bayesian posterior uncertainty for both f and s. The MCMC uses the recent innovations in Efficient Metropolis--Hastings proposal mechanisms for Bayesian regression tree models (Pratola, 2015, Bayesian Analysis, ).
How to cite:
Robert McCulloch (2019). rbart: Bayesian Trees for Conditional Mean and Variance. R package version 1.0, https://cran.r-project.org/web/packages/rbart. Accessed 26 Jun. 2026.
Previous versions and publish date:
1.0 (2019-08-01 11:20)
Other packages that cited rbart R package
View rbart citation profile
Other R packages that rbart depends, imports, suggests or enhances
Functions, R codes and Examples using the rbart R package
Some associated functions: hbartqqplot . plotFunctionDraws . predict.rbart . rbart . rbartModelMatrix . rbartonsimd . simdat . ucarprice . 
Some associated R codes: dotree.R . hbartqqplot.R . mbrt.R . plotFunctionDraws.R . predict.rbart.R . rbart.R . rbartModelMatrix.R .  Full rbart package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

tactile  
New and Extended Plots, Methods, and Panel Functions for 'lattice'
Extensions to 'lattice', providing new high-level functions, methods for existing functions, panel f ...
Download / Learn more Package Citations See dependency  
poptrend  
Estimate Smooth and Linear Trends from Population Count Survey Data
Functions to estimate and plot smooth or linear population trends, or population indices, from anim ...
Download / Learn more Package Citations See dependency  
colormap  
Color Palettes using Colormaps Node Module
Allows to generate colors from palettes defined in the colormap module of 'Node.js'. (see ...
Download / Learn more Package Citations See dependency  
PoisBinOrdNor  
Data Generation with Poisson, Binary, Ordinal and Normal Components
Generation of multiple count, binary, ordinal and normal variables simultaneously given the marginal ...
Download / Learn more Package Citations See dependency  
ggblanket  
Simplify 'ggplot2' Visualisation
Simplify 'ggplot2' visualisation with 'ggblanket' wrapper functions. ...
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  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

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