dbarts: Discrete Bayesian Additive Regression Trees Sampler

Canonical link: https://rscholar.com/pkg/dbarts

Vincent Dorie • Hugh Chipman • Robert McCulloch • Armon Dadgar • R Core Team • Guido U Draheim • Maarten Bosmans • Christophe Tournayre • Michael Petch • ax_ext.m4, • ax_gcc_x86_avx_xgetbv.m4 • Rafael de Lucena Valle • Steven G. Johnson • Matteo Frigo • John Zaitseff • Todd Veldhuizen • Luc Maisonobe • Scott Pakin • Daniel Richard G. • View description and downloads View dependencies GitHub project

2014 Published

0.9-28 Version

0 Citations

19 Authors

Referenced by ⇅	Year
maple: Bayesian Analysis of Multi-Sample Spatial Transcriptomics Experiments (Version 0.99.5)	2022
EBcoBART: Co-Data Learning for Bayesian Additive Regression Trees (Version 1.1.0)	2024
MatchIt: Nonparametric Preprocessing for Parametric Causal Inference (Version 4.5.5)	2005
WeightIt: Weighting for Covariate Balance in Observational Studies (Version 1.3.2)	2017
bartCause: Causal Inference using Bayesian Additive Regression Trees (Version 1.0-9)	2020
bartMan: Create Visualisations for BART Models (Version 0.1.1)	2024
bundle: Serialize Model Objects with a Consistent Interface (Version 0.1.1)	2022
butcher: Model Butcher (Version 0.3.4)	2019
countSTAR: Flexible Modeling of Count Data (Version 1.0.2)	2023
glossa: User-Friendly 'shiny' App for Bayesian Species Distribution Models (Version 1.0.0)	2024
marginaleffects: Predictions, Comparisons, Slopes, Marginal Means, and Hypothesis Tests (Version 0.23.0)	2021
mcmcsae: Markov Chain Monte Carlo Small Area Estimation (Version 0.7.7)	2020
riAFTBART: A Flexible Approach for Causal Inference with Multiple Treatments and Clustered Survival Outcomes (Version 0.3.3)	2022
stan4bart: Bayesian Additive Regression Trees with Stan-Sampled Parametric Extensions (Version 0.0-10)	2021
tidyAML: Automatic Machine Learning with 'tidymodels' (Version 0.0.5)	2023
tmle: Targeted Maximum Likelihood Estimation (Version 2.0.1.1)	2012
twoStageDesignTMLE: Targeted Maximum Likelihood Estimation for Two-Stage Study Design (Version 1.0)	2024
voi: Expected Value of Information (Version 1.0.3)	2023

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