Package: gpss
Title: Gaussian Processes for Social Science
Version: 1.0.3
Date: 2026-04-01
Authors@R: 
   c(person("Soonhong", "Cho", , "tnsehdtm@gmail.com", role = c("aut")),
    person("Doeun", "Kim", , "doeun2@ucla.edu", role = c("aut"),
           comment = c(ORCID = "0000-0003-4789-6599")),
    person("Chad", "Hazlett", , "chazlett@ucla.edu", role = c("aut", "cre")))
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>.
License: GPL (>= 3)
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
RoxygenNote: 7.3.3
URL: https://doeunkim.org/gpss/, https://github.com/doeun-kim/gpss
BugReports: https://github.com/doeun-kim/gpss/issues
Imports: Rcpp (>= 1.0.14), Matrix, ggplot2, rlang
LinkingTo: Rcpp, RcppArmadillo
Depends: R (>= 3.5.0)
LazyData: true
Suggests: MASS, posterior, testthat (>= 3.0.0)
Repository: https://doeun-kim.r-universe.dev
Date/Publication: 2026-04-01 20:08:42 UTC
RemoteUrl: https://github.com/doeun-kim/gpss
RemoteRef: HEAD
RemoteSha: e8e63bbc9fe568f3f01dd93b0ccae41f0bcee48a
NeedsCompilation: yes
Packaged: 2026-07-08 07:09:47 UTC; root
Author: Soonhong Cho [aut],
  Doeun Kim [aut] (ORCID: <https://orcid.org/0000-0003-4789-6599>),
  Chad Hazlett [aut, cre]
Maintainer: Chad Hazlett <chazlett@ucla.edu>