Package: samplr 1.0.1

Lucas Castillo

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>.

Authors:Lucas Castillo [aut, cre, cph], Yun-Xiao Li [aut, cph], Adam N Sanborn [aut, cph], European Research Council [fnd]

samplr_1.0.1.tar.gz
samplr_1.0.1.tar.gz(r-4.5-noble)samplr_1.0.1.tar.gz(r-4.4-noble)
samplr_1.0.1.tgz(r-4.4-emscripten)samplr_1.0.1.tgz(r-4.3-emscripten)
samplr.pdf |samplr.html✨
samplr/json (API)
NEWS

# Install 'samplr' in R:
install.packages('samplr', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Bug tracker:https://github.com/lucas-castillo/samplr/issues

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

4.24 score 25 scripts 130 downloads 18 exports 60 dependencies

Last updated 3 months agofrom:0866ba2509. Checks:OK: 2. Indexed: no.

TargetResultDate
Doc / VignettesOKNov 01 2024
R-4.5-linux-x86_64OKNov 01 2024

Exports:Bayesian_Samplercalc_allcalc_autocorrcalc_levycalc_PSDcalc_qqplotcalc_sigma_scalingMean_Varianceplot_2d_densityplot_seriessampler_hmcsampler_mc3sampler_mchmcsampler_mcrecsampler_mhsampler_recZ_identitiesZhu23ABS

Dependencies:bootbriocallrclicolorspacecrayondescdiffobjdigestevaluatefansifarverfsggplot2gluegtableisobandjsonlitelabelinglatex2explatticelifecyclelme4magrittrMASSMatrixmgcvminqamunsellnlmenloptrpillarpkgbuildpkgconfigpkgloadpracmapraiseprocessxpsR6rbibutilsRColorBrewerRcppRcppArmadilloRcppDistRcppEigenRdpackrematch2rlangrprojrootscalesstringistringrtestthattibbleutf8vctrsviridisLitewaldowithr

Custom Density Functions

Rendered fromcustom-density-functions.Rmdusingknitr::rmarkdownon Nov 01 2024.

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How to Sample From a Distribution

Rendered fromhow-to-sample.Rmdusingknitr::rmarkdownon Nov 01 2024.

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Multivariate Mixtures

Rendered frommultivariate-mixtures.Rmdusingknitr::rmarkdownon Nov 01 2024.

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The samplr package

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Simulations of the Autocorrelated Bayesian Sampler

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Supported Distributions

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Time Comparisons

Rendered fromtime-comparisons.Rmdusingknitr::rmarkdownon Nov 01 2024.

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