# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "stochtree" in publications use:' type: software license: MIT title: 'stochtree: Stochastic Tree Ensembles (XBART and BART) for Supervised Learning and Causal Inference' version: 0.1.1 doi: 10.32614/CRAN.package.stochtree abstract: Flexible stochastic tree ensemble software. Robust implementations of Bayesian Additive Regression Trees (BART) Chipman, George, McCulloch (2010) for supervised learning and Bayesian Causal Forests (BCF) Hahn, Murray, Carvalho (2020) for causal inference. Enables model serialization and parallel sampling and provides a low-level interface for custom stochastic forest samplers. authors: - family-names: Herren given-names: Drew email: drewherrenopensource@gmail.com orcid: https://orcid.org/0000-0003-4109-6611 - family-names: Hahn given-names: Richard - family-names: Murray given-names: Jared - family-names: Carvalho given-names: Carlos - family-names: He given-names: Jingyu repository: https://stochastictree.r-universe.dev repository-code: https://github.com/StochasticTree/stochtree commit: 59d7786dce81bdffa0859789f04ebc6b04328371 url: https://stochtree.ai/ contact: - family-names: Herren given-names: Drew email: drewherrenopensource@gmail.com orcid: https://orcid.org/0000-0003-4109-6611