Package: samplr 1.0.1
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:
samplr_1.0.1.tar.gz
samplr_1.0.1.zip(r-4.5)samplr_1.0.1.zip(r-4.4)samplr_1.0.1.zip(r-4.3)
samplr_1.0.1.tgz(r-4.4-x86_64)samplr_1.0.1.tgz(r-4.4-arm64)samplr_1.0.1.tgz(r-4.3-x86_64)samplr_1.0.1.tgz(r-4.3-arm64)
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://lucas-castillo.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/lucas-castillo/samplr/issues
Last updated 17 days agofrom:7717a039e7. Checks:OK: 9. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 04 2024 |
| R-4.5-win-x86_64 | OK | Nov 04 2024 |
| R-4.5-linux-x86_64 | OK | Nov 04 2024 |
| R-4.4-win-x86_64 | OK | Nov 04 2024 |
| R-4.4-mac-x86_64 | OK | Nov 04 2024 |
| R-4.4-mac-aarch64 | OK | Nov 04 2024 |
| R-4.3-win-x86_64 | OK | Nov 04 2024 |
| R-4.3-mac-x86_64 | OK | Nov 04 2024 |
| R-4.3-mac-aarch64 | OK | Nov 04 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 04 2024.Last update: 2024-07-23
Started: 2021-03-19
How to Sample From a Distribution
Rendered fromhow-to-sample.Rmdusingknitr::rmarkdownon Nov 04 2024.Last update: 2024-07-23
Started: 2021-03-15
Multivariate Mixtures
Rendered frommultivariate-mixtures.Rmdusingknitr::rmarkdownon Nov 04 2024.Last update: 2024-07-23
Started: 2021-03-17
The samplr package
Rendered fromsamplr.Rmdusingknitr::rmarkdownon Nov 04 2024.Last update: 2024-07-24
Started: 2024-07-23
Simulations of the Autocorrelated Bayesian Sampler
Rendered fromabs-simulations.Rmdusingknitr::rmarkdownon Nov 04 2024.Last update: 2024-11-04
Started: 2024-07-23
Supported Distributions
Rendered fromsupported-distributions.Rmdusingknitr::rmarkdownon Nov 04 2024.Last update: 2024-07-23
Started: 2021-03-15
Time Comparisons
Rendered fromtime-comparisons.Rmdusingknitr::rmarkdownon Nov 04 2024.Last update: 2024-07-23
Started: 2021-03-15
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Bayesian Sampler Model | Bayesian_Sampler |
| Diagnostics Wrapper | calc_all |
| Autocorrelation Calculator | calc_autocorr |
| Levy Flights Calculator | calc_levy |
| Power Spectral Density Calculator | calc_PSD |
| QQ-Plot Calculator | calc_qqplot |
| Sigma Scaling Calculator | calc_sigma_scaling |
| Mean Variance Estimates | Mean_Variance |
| Density Plotter | plot_2d_density |
| Series Plotter | plot_series |
| Hamiltonian Monte-Carlo Sampler (HMC) | sampler_hmc |
| Metropolis-coupled MCMC sampler (MC3) | sampler_mc3 |
| Metropolis-Coupled Hamiltonian Monte Carlo (MCHMC) | sampler_mchmc |
| Metropolis-Coupled Recycled-Momentum HMC Sampler (MCREC) | sampler_mcrec |
| Metropolis-Hastings (MH) Sampler | sampler_mh |
| Recycled-Momentum HMC Sampler (REC) | sampler_rec |
| Z Identities | Z_identities |
| Auto-correlated Bayesian Sampler by Zhu (2023) | Zhu23ABS |
