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samplr: Compare Human Performance to Sampling Algorithms (original) (raw)

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>.

Version: 1.1.0
Depends: R (≥ 2.10)
Imports: Rcpp (≥ 1.0.6), ggplot2, latex2exp, 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
Published: 2025-03-31
DOI: 10.32614/CRAN.package.samplr
Author: Lucas Castillo ORCID iD [aut, cre, cph], Yun-Xiao Li ORCID iD [aut, cph], Adam N Sanborn ORCID iD [aut, cph], European Research Council (ERC) [fnd]
Maintainer: Lucas Castillo <lucas.castillo-marti at warwick.ac.uk>
BugReports: https://github.com/lucas-castillo/samplr/issues
License: CC BY 4.0
URL: https://lucas-castillo.github.io/samplr/
NeedsCompilation: yes
Materials: README, NEWS
CRAN checks: samplr results

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