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gpss  

Gaussian Processes for Social Science
View on CRAN: Click here


Download and install gpss package within the R console
Install from CRAN:
install.packages("gpss")

Install from Github:
library("remotes")
install_github("cran/gpss")

Install by package version:
library("remotes")
install_version("gpss", "1.0.3")



Attach the package and use:
library("gpss")
Maintained by
Chad Hazlett
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-04-08
Latest Update: 2026-04-08
Description:
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>.
How to cite:
Chad Hazlett (2026). gpss: Gaussian Processes for Social Science. R package version 1.0.3, https://cran.r-project.org/web/packages/gpss. Accessed 03 Oct. 2026.
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Full gpss package functions and examples
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