Compare Human Performance to Sampling Algorithms R package samplr version 1.1.2 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>. Software Depends: R (>= 2.10) Imports: Rcpp (>= 1.0.6), ggplot2, pracma, stats, lme4, Rdpack, R6, graphics LinkingTo: Rcpp, RcppArmadillo, RcppDist, testthat, Suggests: knitr, rmarkdown, testthat (>= 3.0.0), vdiffr, bench, dplyr, tidyr, magrittr, mvtnorm, xml2, withr, samplrData Lucas Castillo <lucas.castillo@warwick.ac.uk> Comprehensive R Archive Network (CRAN) 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] CC BY 4.0 2026-03-26 application/tgz https://CRAN.R-project.org/package=samplr doi:10.32614/CRAN.package.samplr