# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "bcf" in publications use:' type: software license: GPL-3.0-only title: 'bcf: Causal Inference for a Binary Treatment and Continuous Outcome using Bayesian Causal Forests' version: 2.0.2 doi: 10.1214/19-BA1195 identifiers: - type: doi value: 10.32614/CRAN.package.bcf abstract: Causal inference for a binary treatment and continuous outcome using Bayesian Causal Forests. See Hahn, Murray and Carvalho (2020) for additional information. This implementation relies on code originally accompanying Pratola et. al. (2013) . authors: - family-names: Murray given-names: Jared S. email: jared.murray@mccombs.utexas.edu - family-names: Hahn given-names: P. Richard - family-names: Carvalho given-names: Carlos preferred-citation: type: article title: 'Bayesian Regression Tree Models for Causal Inference: Regularization, Confounding, and Heterogeneous Effects' authors: - family-names: Hahn given-names: P. Richard - family-names: Murray given-names: Jared S. email: jared.murray@mccombs.utexas.edu - family-names: Carvalho given-names: Carlos M. year: '2020' journal: Bayesian Analysis volume: '15' issue: '3' doi: 10.1214/19-BA1195 publisher: name: International Society for Bayesian Analysis url: https://projecteuclid.org/journals/bayesian-analysis/volume-15/issue-3/Bayesian-Regression-Tree-Models-for-Causal-Inference--Regularization-Confounding/10.1214/19-BA1195.full start: '965' end: '1056' repository: https://jaredsmurray.r-universe.dev commit: f33ae4b0e0e977a1719188a145b4600adcb9b6d7 date-released: '2023-09-26' contact: - family-names: Murray given-names: Jared S. email: jared.murray@mccombs.utexas.edu