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:
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
bayesbayesianbayesian-data-analysisbayesian-methodsprior-distributionsensitivity-analysisstanquarto
Last updated from:d13f1506d7. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 426 | ||
| source / vignettes | OK | 486 | ||
| linux-release-x86_64 | OK | 429 | ||
| macos-release-arm64 | OK | 509 | ||
| macos-oldrel-arm64 | OK | 402 | ||
| windows-devel | OK | 435 | ||
| windows-release | OK | 359 | ||
| windows-oldrel | OK | 343 | ||
| wasm-release | OK | 255 |
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
Last update: 2026-06-12
Started: 2026-05-21
Last update: 2026-05-21
Started: 2026-05-21
Last update: 2026-05-21
Started: 2026-05-21
Last update: 2026-05-21
Started: 2026-05-21
Last update: 2026-05-21
Started: 2025-04-04
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| priorsense: Prior (and likelihood) diagnostics and sensitivity analysis | priorsense-package priorsense |
| Cumulative Jensen-Shannon divergence | cjs_dist |
| Create data structure for priorsense | create-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 sensitivity | example_powerscale_model |
| Extract log likelihood draws | log_lik_draws log_lik_draws.CmdStanFit log_lik_draws.draws log_lik_draws.stanfit |
| Extract log prior draws | log_prior_draws log_prior_draws.CmdStanFit log_prior_draws.draws log_prior_draws.stanfit |
| Derivative with respect to power-scaling | powerscale_derivative |
| Power-scale gradients | powerscale-gradients powerscale_gradients powerscale_gradients.default powerscale_gradients.priorsense_data |
| Prior/likelihood power-scaling perturbation | powerscale powerscale-overview powerscale.default powerscale.priorsense_data powerscale_sequence powerscale_sequence.default powerscale_sequence.priorsense_data |
| Diagnostic plots for power-scaling sensitivity | plot.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 analysis | powerscale-sensitivity powerscale_sensitivity powerscale_sensitivity.CmdStanFit powerscale_sensitivity.default powerscale_sensitivity.priorsense_data powerscale_sensitivity.stanfit |
| brms predictions as draws | predictions_as_draws |
