samplr: Compare Human Performance to Sampling Algorithms
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 
[aut, cre, cph],
Yun-Xiao Li [aut,
cph],
Adam N Sanborn
[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 |
Documentation:
| Reference manual: | samplr.html , samplr.pdf |
| Vignettes: |
Simulations-of-the-Autocorrelated-Bayesian-Sampler (source, R code) custom-density-functions (source, R code) how-to-sample (source, R code) multivariate-mixtures (source, R code) samplr-package (source, R code) supported-distributions (source, R code) time-comparisons (source, R code) |
Downloads:
| Package source: | samplr_1.1.0.tar.gz |
| Windows binaries: | r-devel: samplr_1.1.0.zip, r-release: samplr_1.1.0.zip, r-oldrel: samplr_1.1.0.zip |
| macOS binaries: | r-release (arm64): samplr_1.1.0.tgz, r-oldrel (arm64): samplr_1.1.0.tgz, r-release (x86_64): samplr_1.1.0.tgz, r-oldrel (x86_64): samplr_1.1.0.tgz |
| Old sources: | samplr archive |
Linking:
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