Package: priorsense 1.4.0

priorsense: Prior Diagnostics and Sensitivity Analysis

Provides functions for prior and likelihood sensitivity analysis in Bayesian models. Currently it implements methods to determine the sensitivity of the posterior to power-scaling perturbations of the prior and likelihood.

Authors:Noa Kallioinen [aut, cre], Topi Paananen [aut], Paul-Christian Bürkner [aut], Aki Vehtari [aut], Frank Weber [ctb], Simon Taylor [rev], Dylan Dijk [rev]

priorsense_1.4.0.tar.gz
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priorsense_1.4.0.tgz(r-4.6-any)priorsense_1.4.0.tgz(r-4.5-any)
priorsense_1.4.0.tar.gz(r-4.7-any)priorsense_1.4.0.tar.gz(r-4.6-any)
priorsense_1.4.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
priorsense/json (API)

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

Bug tracker:https://github.com/stan-dev/priorsense/issues

On CRAN:

Conda:

bayesbayesianbayesian-data-analysisbayesian-methodsprior-distributionsensitivity-analysisstanquarto

9.83 score 83 stars 5 packages 6 scripts 2.3k downloads 14 exports 35 dependencies

Last updated from:19e0ae630a. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK414
source / vignettesOK489
linux-releaseOK385
macos-releaseOK342
macos-oldrelOK304
windows-develOK352
windows-releaseOK349
windows-oldrelOK343
wasm-releaseOK287

Exports:cjs_distcreate_priorsense_dataexample_powerscale_modellog_lik_drawslog_prior_drawspowerscalepowerscale_derivativepowerscale_gradientspowerscale_plot_denspowerscale_plot_ecdfpowerscale_plot_quantitiespowerscale_sensitivitypowerscale_sequencepredictions_as_draws

Dependencies:abindbackportscheckmateclicpp11distributionalfarvergenericsggdistggh4xggplot2gluegtableisobandlabelinglifecyclemagrittrmatrixStatsnumDerivpillarpkgconfigposteriorquadprogR6RColorBrewerRcpprlangS7scalestensorAtibbleutf8vctrsviridisLitewithr

Published papers using priorsense
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Last update: 2026-09-17
Started: 2026-09-17

Using priorsense with NIMBLE
Rendered frompriorsense_with_nimble.qmdusingquarto::html

Last update: 2026-06-12
Started: 2026-05-21

Using priorsense with Stan
Rendered frompriorsense_with_stan.qmdusingquarto::html

Last update: 2026-05-21
Started: 2026-05-21

Getting started with priorsense
Introduction | Power-scaling sensitivity analysis | Requirements | Simple example
Rendered fromgetting_started.qmdusingquarto::html

Last update: 2026-05-21
Started: 2026-05-21

Using priorsense with brms
Rendered frompriorsense_with_brms.qmdusingquarto::html

Last update: 2026-05-21
Started: 2026-05-21

Using priorsense with JAGS
Rendered frompriorsense_with_jags.qmdusingquarto::html

Last update: 2026-05-21
Started: 2025-04-04

Readme and manuals

Help Manual

Help pageTopics
priorsense: Prior (and likelihood) diagnostics and sensitivity analysispriorsense-package priorsense
Cumulative Jensen-Shannon divergencecjs_dist
Create data structure for priorsensecreate-priorsense-data create_priorsense_data create_priorsense_data.CmdStanFit create_priorsense_data.default create_priorsense_data.draws create_priorsense_data.jagsUI create_priorsense_data.mcmc.list create_priorsense_data.rjags create_priorsense_data.stanfit
Example models for power-scaling sensitivityexample_powerscale_model
Extract log likelihood drawslog_lik_draws log_lik_draws.CmdStanFit log_lik_draws.draws log_lik_draws.stanfit
Extract log prior drawslog_prior_draws log_prior_draws.CmdStanFit log_prior_draws.draws log_prior_draws.stanfit
Derivative with respect to power-scalingpowerscale_derivative
Power-scale gradientspowerscale-gradients powerscale_gradients powerscale_gradients.default powerscale_gradients.priorsense_data
Prior/likelihood power-scaling perturbationpowerscale powerscale-overview powerscale.default powerscale.priorsense_data powerscale_sequence powerscale_sequence.default powerscale_sequence.priorsense_data
Diagnostic plots for power-scaling sensitivityplot.powerscaled_sequence powerscale-plots powerscale_plot_dens powerscale_plot_ecdf powerscale_plot_ecdf.powerscaled_sequence powerscale_plot_quantities powerscale_plot_quantities.powerscaled_sequence
Power-scaling sensitivity analysispowerscale-sensitivity powerscale_sensitivity powerscale_sensitivity.CmdStanFit powerscale_sensitivity.default powerscale_sensitivity.priorsense_data powerscale_sensitivity.stanfit
brms predictions as drawspredictions_as_draws