Package: priorsense 1.2.0.9000

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, cph], Topi Paananen [aut], Paul-Christian Bürkner [aut], Aki Vehtari [aut], Frank Weber [ctb], Simon Taylor [rev], Dylan Dijk [rev]

priorsense_1.2.0.9000.tar.gz
priorsense_1.2.0.9000.zip(r-4.7)priorsense_1.2.0.9000.zip(r-4.6)priorsense_1.2.0.9000.zip(r-4.5)
priorsense_1.2.0.9000.tgz(r-4.6-any)priorsense_1.2.0.9000.tgz(r-4.5-any)
priorsense_1.2.0.9000.tar.gz(r-4.7-any)priorsense_1.2.0.9000.tar.gz(r-4.6-any)
priorsense_1.2.0.9000.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/n-kall/priorsense/issues

Pkgdown/docs site:https://n-kall.github.io

On CRAN:

Conda:

bayesbayesianbayesian-data-analysisbayesian-methodsprior-distributionsensitivity-analysisstanquarto

11.21 score 76 stars 5 packages 142 scripts 6.2k downloads 14 exports 35 dependencies

Last updated from:d13f1506d7. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK426
source / vignettesOK486
linux-release-x86_64OK429
macos-release-arm64OK509
macos-oldrel-arm64OK402
windows-develOK435
windows-releaseOK359
windows-oldrelOK343
wasm-releaseOK255

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

Using priorsense with NIMBLE

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

Using priorsense with Stan

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

Getting started with priorsense
Introduction | Power-scaling sensitivity analysis | Requirements | Simple example

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

Using priorsense with brms

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

Using priorsense with JAGS

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