Package: samplr 1.1.2.9000

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_1.1.2.9000.tar.gz
samplr_1.1.2.9000.zip(r-4.7)samplr_1.1.2.9000.zip(r-4.6)samplr_1.1.2.9000.zip(r-4.5)
samplr_1.1.2.9000.tgz(r-4.6-x86_64)samplr_1.1.2.9000.tgz(r-4.6-arm64)samplr_1.1.2.9000.tgz(r-4.5-x86_64)samplr_1.1.2.9000.tgz(r-4.5-arm64)
samplr_1.1.2.9000.tar.gz(r-4.7-arm64)samplr_1.1.2.9000.tar.gz(r-4.7-x86_64)samplr_1.1.2.9000.tar.gz(r-4.6-arm64)samplr_1.1.2.9000.tar.gz(r-4.6-x86_64)
samplr_1.1.2.9000.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION |NEWS
card.svg |card.png
samplr/json (API)

# 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

Pkgdown/docs site:https://lucas-castillo.github.io

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

On CRAN:

Conda:

openblascpp

6.54 score 4 stars 25 scripts 610 downloads 18 exports 51 dependencies

Last updated from:da8e8939ab. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK264
linux-devel-x86_64OK235
source / vignettesOK387
linux-release-arm64OK214
linux-release-x86_64OK236
macos-release-arm64OK195
macos-release-x86_64OK334
macos-oldrel-arm64OK207
macos-oldrel-x86_64OK364
windows-develOK231
windows-releaseOK289
windows-oldrelOK223
wasm-releaseOK219

Exports:Bayesian_Samplercalc_allcalc_autocorrcalc_levycalc_PSDcalc_qqplotcalc_sigma_scalingMean_Varianceplot_2d_densityplot_seriessampler_hmcsampler_mc3sampler_mchmcsampler_mcrecsampler_mhsampler_recZ_identitiesZhu23ABS

Dependencies:bootbriocallrclicpp11crayondescdiffobjevaluatefarverfsggplot2gluegtableisobandjsonlitelabelinglatticelifecyclelme4magrittrMASSMatrixminqanlmenloptrotelpkgbuildpkgloadpracmapraiseprocessxpsR6rbibutilsRColorBrewerRcppRcppArmadilloRcppDistRcppEigenRdpackreformulasrlangrprojrootS7scalestestthatvctrsviridisLitewaldowithr

The samplr package
Package Overview | Sampling Algorithms | Diagnostic Tools | Models | References

Last update: 2026-02-27
Started: 2024-07-23

Simulations of the Autocorrelated Bayesian Sampler
Fixed stopping rule | A normal distribution for posterior of hypothesis | A custom posterior of hypotheses | Relative stopping rule | References

Last update: 2024-11-04
Started: 2024-07-23

Custom Density Functions
On Timing

Last update: 2024-07-23
Started: 2021-03-19

How to Sample From a Distribution
Choosing a distibution | Different Sampling Algorithms | Mixture Distributions

Last update: 2024-07-23
Started: 2021-03-15

Multivariate Mixtures
Setup | Metropolis Hastings | MC3 | Hamiltonian

Last update: 2024-07-23
Started: 2021-03-17

Supported Distributions
Univariate Distributions | Continuous Distributions | Discrete Distributions | Multivariate Distributions | Examples | Univariate distribution | Multivariate distribution

Last update: 2024-07-23
Started: 2021-03-15

Time Comparisons
C++ | MATLAB

Last update: 2024-07-23
Started: 2021-03-15