Package: samplr
Type: Package
Title: Compare Human Performance to Sampling Algorithms
Version: 1.1.1
Authors@R: c(
    person(given = "Lucas",
           family = "Castillo",
           role = c("aut", "cre", "cph"),
           email = "lucas.castillo@warwick.ac.uk",
           comment = c(ORCID = "0000-0003-0274-0777")),
    person(given = "Yun-Xiao",
           family = "Li",
           role = c("aut", "cph"),
           email = "yunxiao.li@warwick.ac.uk",
           comment = c(ORCID = "0000-0002-3509-6618")),
    person(given = "Adam N",
           family = "Sanborn",
           role = c("aut", "cph"),
           email = "a.n.sanborn@warwick.ac.uk",
           comment = c(ORCID = "0000-0003-0442-4372")),
    person("European Research Council (ERC)",
           role = c("fnd"))
   )
Maintainer: Lucas Castillo <lucas.castillo@warwick.ac.uk>
Description: Understand human performance from the perspective of sampling, both looking at how people generate samples and how people use the samples they have generated. A longer overview and other resources can be found at <https://sampling.warwick.ac.uk>.
License: CC BY 4.0
Imports: Rcpp (>= 1.0.6), ggplot2, pracma, stats, lme4, Rdpack, R6,
        graphics
Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr, bench, dplyr,
        tidyr, magrittr, mvtnorm, xml2, withr, samplrData
LinkingTo: Rcpp, RcppArmadillo, RcppDist, testthat,
RdMacros: Rdpack
RoxygenNote: 7.3.1
Encoding: UTF-8
VignetteBuilder: knitr
Config/testthat/edition: 3
URL: https://lucas-castillo.github.io/samplr/
BugReports: https://github.com/lucas-castillo/samplr/issues
Depends: R (>= 2.10)
NeedsCompilation: yes
Packaged: 2026-02-20 10:28:01 UTC; Lucas
Author: Lucas Castillo [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0003-0274-0777>),
  Yun-Xiao Li [aut, cph] (ORCID: <https://orcid.org/0000-0002-3509-6618>),
  Adam N Sanborn [aut, cph] (ORCID:
    <https://orcid.org/0000-0003-0442-4372>),
  European Research Council (ERC) [fnd]
Repository: CRAN
Date/Publication: 2026-02-20 12:00:02 UTC
Built: R 4.6.0; x86_64-w64-mingw32; 2026-02-24 00:52:57 UTC; windows
Archs: x64
