Package: gpss 1.0.3

Chad Hazlett

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>.

Authors:Soonhong Cho [aut], Doeun Kim [aut], Chad Hazlett [aut, cre]

gpss_1.0.3.tar.gz
gpss_1.0.3.tar.gz(r-4.7-arm64)gpss_1.0.3.tar.gz(r-4.7-x86_64)gpss_1.0.3.tar.gz(r-4.6-arm64)gpss_1.0.3.tar.gz(r-4.6-x86_64)
gpss_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
gpss/json (API)
NEWS

# Install 'gpss' in R:
install.packages('gpss', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/doeun-kim/gpss/issues

Pkgdown/docs site:https://doeunkim.org

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3
Datasets:
  • lalonde - Data from National Supported Work program and Panel Study in Income Dynamics

On CRAN:

Conda:

openblascpp

1.74 score 11 scripts 435 downloads 6 exports 21 dependencies

Last updated from:db13ce6c59. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK138
linux-devel-x86_64OK135
source / vignettesOK214
linux-release-arm64OK131
linux-release-x86_64OK155
wasm-releaseOK115

Exports:gp_itsgp_predictgp_rddgp_rdd_plotgp_traingpss

Dependencies:clicpp11farverggplot2gluegtableisobandlabelinglatticelifecycleMatrixR6RColorBrewerRcppRcppArmadillorlangS7scalesvctrsviridisLitewithr