Package: bayesplay 0.9.4

Lincoln John Colling

bayesplay: The Bayes Factor Playground

A lightweight modelling syntax for defining likelihoods and priors and for computing Bayes factors for simple one parameter models. It includes functionality for computing and plotting priors, likelihoods, and model predictions. Additional functionality is included for computing and plotting posteriors.

Authors:Lincoln John Colling [aut, cre]

bayesplay_0.9.4.tar.gz
bayesplay_0.9.4.zip(r-4.7-any)bayesplay_0.9.4.zip(r-4.6-any)bayesplay_0.9.4.zip(r-4.5-any)
bayesplay_0.9.4.tgz(r-4.6-any)bayesplay_0.9.4.tgz(r-4.5-any)
bayesplay_0.9.4.tar.gz(r-4.7-any)bayesplay_0.9.4.tar.gz(r-4.6-any)
bayesplay_0.9.4.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
bayesplay/json (API)

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

Bug tracker:https://github.com/bayesplay/bayesplay/issues

On CRAN:

Conda:

bayesbayesianbayesian-statistics

5.65 score 6 stars 417 downloads 10 exports 34 dependencies

Last updated from:bb97c2157f. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develNOTE160
source / vignettesOK245
linux-releaseNOTE208
macos-releaseNOTE156
macos-oldrelNOTE207
windows-develNOTE87
windows-releaseNOTE93
windows-oldrelNOTE95
wasm-releaseOK126

Exports:bfrrextract_posteriorextract_predictionsintegrallikelihoodposterior_samplespriorsd_ratiosummaryvisual_compare

Dependencies:clicodetoolscpp11digestfarverfuturefuture.applygginnardsggplot2globalsgluegtableisobandlabelinglifecyclelistenvmagrittrparallellypatchworkpillarpkgconfigR6RColorBrewerrlangS7scalesstringistringrtibbleutf8vctrsVGAMviridisLitewithr

Basic plotting
Examples | Plotting likelihoods | Plotting priors | Styling plots | Styling advanced plots
Rendered fromplots.Rmdusingknitr::rmarkdown

Last update: 2024-02-05
Started: 2021-05-18

Default t-tests
One-sample/paired t-tests | Independent samples t-tests | References
Rendered fromdefault_ttests.Rmdusingknitr::rmarkdown

Last update: 2024-02-05
Started: 2021-05-21

Robustness regions
Rendered fromrobustness.Rmdusingknitr::rmarkdown

Last update: 2024-02-05
Started: 2024-02-05

Advanced usage
Calculating posterior distributions | Binomial likelihood and beta prior | Normal likelihood and uniform prior | Noncentral 'd' likelihood and Cauchy prior | Plotting priors and posteriors | The Savage-Dickey density ratio | Marginal predictions | Visually comparing models
Rendered fromadvanced.Rmdusingknitr::rmarkdown

Last update: 2023-11-24
Started: 2021-05-18

Basic usage
Examples | Example 1 | Example 2 | Example 3 | References
Rendered frombasic.Rmdusingknitr::rmarkdown

Last update: 2023-11-24
Started: 2021-05-18

Readme and manuals

Help Manual

Help pageTopics
Perform a robustness analysisbfrr
Extract the posteriorextract_posterior
Extract predictionsextract_predictions
Compute integralintegral
Specify a likelihoodlikelihood
Get names from data slotnames,bayesplay-method
Plot a bayesplay objectplot plot.likelihood plot.posterior plot.prediction plot.prior plot.product plot.robustness
Draw samples from a posterior distributionposterior_samples
Specify a priorprior
Compute the Savage-Dickey density ratiosd_ratio
Summarise a Bayes factorsummary,bf-method
Summarise a Robustness analysissummary,robustness-method
Visually compare two modelsvisual_compare