R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
bartBMA
View on CRAN: Click
here
Download and install bartBMA package within the R console
Install from CRAN:
install.packages("bartBMA")
Install from Github:
library("remotes")
install_github("cran/bartBMA") Install by package version:
library("remotes")
install_version("bartBMA", "1.0") Attach the package and use:
library("bartBMA")
Maintained by
Belinda Hernandez
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-03-13
Latest Update:
Description:
"BART-BMA Bayesian Additive Regression Trees using Bayesian Model Averaging" (Hernandez B, Raftery A.E., Parnell A.C. (2018) ) is an extension to the original BART sum-of-trees model (Chipman et al 2010). BART-BMA differs to the original BART model in two main aspects in order to implement a greedy model which
will be computationally feasible for high dimensional data. Firstly BART-BMA uses a greedy search for the best split points and variables when growing decision trees within each sum-of-trees
model. This means trees are only grown based on the most predictive set of split rules. Also rather than using Markov chain Monte Carlo (MCMC), BART-BMA uses a greedy implementation of Bayesian Model Averaging called Occam's Window
which take a weighted average over multiple sum-of-trees models to form its overall prediction. This means that only the set of sum-of-trees for which there is high support from the data
are saved to memory and used in the final model.
How to cite:
Belinda Hernandez (2020). bartBMA: Bayesian Additive Regression Trees using Bayesian Model
Averaging. R package version 1.0, https://cran.r-project.org/web/packages/bartBMA. Accessed 10 Mar. 2026.
Previous versions and publish date:
1.0 (2020-03-13 12:50)
Other packages that cited bartBMA R package
View bartBMA citation profile
Other R packages that bartBMA depends,
imports, suggests or enhances
Functions, R codes and Examples using
the bartBMA R package
Some associated functions: ITEs_CATT_bartBMA_exact_par . ITEs_bartBMA . ITEs_bartBMA_exact_par . bartBMA . bartBMA_with_ITEs_exact_par . pred_expectation_intervals_bbma_GS . pred_intervals_bbma_GS . pred_intervals_new_initials_GS . pred_ints_exact . pred_ints_exact_par . pred_means_bbma_GS . pred_means_bbma_new_initials_GS . predict_bartBMA . predict_probit_bartBMA . preds_bbma_lin_alg . probit_bartBMA . varImpScores . varIncProb .
Some associated R codes: ITEs_CATT_bartBMA_exact_par.R . ITEs_bartBMA.R . ITEs_bartBMA_exact_par.R . RcppExports.R . bartBMA.R . bartBMA_with_ITEs_exact_par.R . pred_expectation_intervals_bbma_GS.R . pred_intervals_GS.R . pred_intervals_new_initials_GS.R . pred_ints_exact.R . pred_ints_exact_par.R . pred_means_bbma_GS.R . pred_means_new_initials_GS.R . predict_bartBMA.R . predict_probit_bartBMA.R . preds_bbma_lin_alg.R . printbartBMA.R . probit_bartBMA.R . varImpScores.R . varIncProb.R . Full bartBMA package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
nextGenShinyApps
Nove responsive tools for designing and developing 'Shiny' dashboards and applications. The scripts ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
envirem
Generation of bioclimatic rasters that are complementary to the typical 19 bioclim variables. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Pascal Title (view profile)
plyr
A set of tools that solves a common set of problems: you need
to break a big problem down into mana ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Hadley Wickham (view profile)
gena
Implements genetic algorithm and particle swarm algorithm for real-valued functions. Various modific ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Bogdan Potanin (view profile)
26,293
R Packages
225,784
Dependencies
70,376
Author Associations
26,294
Publication Badges
