gpss: Gaussian Processes for Social Science

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>.

Version:	1.0.3
Depends:	R (≥ 3.5.0)
Imports:	Rcpp (≥ 1.0.14), Matrix, ggplot2, rlang
LinkingTo:	Rcpp, RcppArmadillo
Suggests:	MASS, posterior, testthat (≥ 3.0.0)
Published:	2026-04-08
DOI:	10.32614/CRAN.package.gpss (may not be active yet)
Author:	Soonhong Cho [aut], Doeun Kim [aut], Chad Hazlett [aut, cre]
Maintainer:	Chad Hazlett <chazlett at ucla.edu>
BugReports:	https://github.com/doeun-kim/gpss/issues
License:	GPL (≥ 3)
URL:	https://doeunkim.org/gpss/, https://github.com/doeun-kim/gpss
NeedsCompilation:	yes
Materials:	README, NEWS
CRAN checks:	gpss results

Documentation:

Reference manual:

gpss.html , gpss.pdf

Downloads:

Package source:	gpss_1.0.3.tar.gz
Windows binaries:	r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries:	r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): gpss_1.0.3.tgz, r-oldrel (x86_64): gpss_1.0.3.tgz

Linking:

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