Package: powerbrmsINLA 1.2.0

powerbrmsINLA: Bayesian Power Analysis Using 'brms' and 'INLA'

Provides tools for Bayesian power analysis and assurance calculations using the statistical frameworks of 'brms' and 'INLA'. Includes simulation-based approaches, support for multiple decision rules (direction, threshold, ROPE), sequential designs, and visualisation helpers. Methods are based on Kruschke (2014, ISBN:9780124058880) "Doing Bayesian Data Analysis: A Tutorial with R, JAGS, and Stan", O'Hagan & Stevens (2001) <doi:10.1177/0272989X0102100307> "Bayesian Assessment of Sample Size for Clinical Trials of Cost-Effectiveness", Kruschke (2018) <doi:10.1177/2515245918771304> "Rejecting or Accepting Parameter Values in Bayesian Estimation", Rue et al. (2009) <doi:10.1111/j.1467-9868.2008.00700.x> "Approximate Bayesian inference for latent Gaussian models by using integrated nested Laplace approximations", and Bürkner (2017) <doi:10.18637/jss.v080.i01> "brms: An R Package for Bayesian Multilevel Models using Stan".

Authors:Tony Myers [aut, cre]

powerbrmsINLA_1.2.0.tar.gz
powerbrmsINLA_1.2.0.zip(r-4.7)powerbrmsINLA_1.2.0.zip(r-4.6)powerbrmsINLA_1.2.0.zip(r-4.5)
powerbrmsINLA_1.2.0.tgz(r-4.6-any)powerbrmsINLA_1.2.0.tgz(r-4.5-any)
powerbrmsINLA_1.2.0.tar.gz(r-4.7-any)powerbrmsINLA_1.2.0.tar.gz(r-4.6-any)
powerbrmsINLA_1.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
powerbrmsINLA/json (API)
NEWS

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

Bug tracker:https://github.com/tony-myers/powerbrmsinla/issues

On CRAN:

Conda:

3.30 score 4 scripts 138 downloads 34 exports 75 dependencies

Last updated from:18744f1a13. Checks:7 WARNING, 1 ERROR, 1 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64WARNING193
source / vignettesERROR237
linux-release-x86_64WARNING212
macos-release-arm64WARNING176
macos-oldrel-arm64WARNING227
windows-develWARNING152
windows-releaseWARNING190
windows-oldrelWARNING135
wasm-releaseOK165

Exports:%||%add_decision_overlayassurance_prior_weightsbeta_binom_powerbeta_weights_on_gridbrms_inla_powerbrms_inla_power_designbrms_inla_power_parallelbrms_inla_power_sequentialbrms_inla_power_two_stagecompute_assurancedecide_sample_sizehdi_of_icdfmin_n_beta_binomplot_assurance_curveplot_assurance_with_robustnessplot_bf_assurance_curveplot_bf_assurance_curve_smoothplot_bf_expected_evidenceplot_bf_heatmapplot_decision_assurance_curveplot_decision_threshold_contourplot_design_priorplot_interaction_surfaceplot_power_assurance_overlayplot_power_contourplot_power_heatmapplot_precision_assurance_curveplot_precision_fan_chartprint.brms_inla_powerprint.powerbrmsINLA_assuranceprint.powerbrmsINLA_sample_sizevalidate_inla_vs_brmsvalidate_sd_spec

Dependencies:abindbackportsbayesplotBHbridgesamplingbrmsBrobdingnagcallrcheckmateclicodacodetoolscpp11descdigestdistributionaldplyrfarverfuturefuture.applygenericsggplot2ggridgesglobalsgluegridExtragtableinlineisobandlabelinglatticelifecyclelistenvloomagrittrMatrixmatrixStatsmgcvmvtnormnleqslvnlmenumDerivparallellypbapplypillarpkgbuildpkgconfigplyrposteriorprocessxpspurrrQuickJSRR6RColorBrewerRcppRcppEigenRcppParallelreshape2rlangrstanrstantoolsS7scalesStanHeadersstringistringrtensorAtibbletidyrtidyselectutf8vctrsviridisLitewithr