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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=samplr to link to this page.
RetroSearch is an open source project built by @garambo | Open a GitHub Issue
Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo
HTML:
3.2
| Encoding:
UTF-8
| Version:
0.7.4