https://doeun-kim.r-universe.devRecent package updates in doeun-kimR-universehttps://github.com/doeun-kim.pnghttps://doeun-kim.r-universe.devWed, 01 Apr 2026 20:08:42 GMTchazlett@ucla.edu (Chad Hazlett)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) <doi:10.1017/pan.2026.10032>.https://github.com/r-universe/doeun-kim/actions/runs/28924329957Wed, 01 Apr 2026 20:08:42 GMTgpss1.0.3successhttps://doeun-kim.r-universe.devhttps://github.com/doeun-kim/gpss