# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "gpss" in publications use:' type: software license: GPL-3.0-or-later title: 'gpss: Gaussian Processes for Social Science' version: 1.0.3 doi: 10.32614/CRAN.package.gpss abstract: 'Provides Gaussian process (GP) regression tools for social science inference problems. GPs combine flexible nonparametric regression with principled uncertainty quantification: rather than committing to a single model fit, the posterior reflects lesser knowledge at the edge of or beyond the observed data, where other approaches become highly model-dependent. The package reduces user-chosen hyperparameters from three to zero and supplies convenience functions for regression discontinuity (gp_rdd()), interrupted time-series (gp_its()), and general GP fitting (gpss(), gp_train(), gp_predict()). Methods are described in Cho, Kim, and Hazlett (2026) .' authors: - family-names: Cho given-names: Soonhong email: tnsehdtm@gmail.com - family-names: Kim given-names: Doeun email: doeun2@ucla.edu orcid: https://orcid.org/0000-0003-4789-6599 - family-names: Hazlett given-names: Chad email: chazlett@ucla.edu repository: https://doeun-kim.r-universe.dev repository-code: https://github.com/doeun-kim/gpss commit: e8e63bbc9fe568f3f01dd93b0ccae41f0bcee48a url: https://doeunkim.org/gpss/ date-released: '2026-04-01' contact: - family-names: Hazlett given-names: Chad email: chazlett@ucla.edu