{ "_id": "6a101b58acfb0bcc41c870ab", "Package": "qbrms", "Title": "Quick Bayesian Regression Models Using 'INLA' with 'brms' Syntax", "Version": "1.0.1", "Date": "2025-11-26", "Authors@R": "person(given = \"Tony\",\nfamily = \"Myers\",\nrole = c(\"aut\", \"cre\"),\nemail = \"admyers@aol.com\",\ncomment = c(ORCID = \"0000-0003-4516-4829\"))", "Maintainer": "Tony Myers ", "Description": "Provides a 'brms'-like interface for fitting Bayesian\nregression models using 'INLA' (Integrated Nested Laplace\nApproximations) and 'TMB' (Template Model Builder). The package\noffers faster model fitting while maintaining familiar 'brms'\nsyntax and output formats. Supports fixed and mixed effects\nmodels, multiple probability distributions, conditional effects\nplots, and posterior predictive checks with summary methods\ncompatible with 'brms'. 'TMB' integration provides fast ordinal\nregression capabilities. Implements methods adapted from\n'emmeans' for marginal means estimation and 'bayestestR' for\nBayesian inference assessment. Methods are based on Rue et al.\n(2009) , Kristensen et\nal. (2016) , Lenth (2016)\n, Bürkner (2017)\n, Makowski et al. (2019)\n, and Kruschke (2014,\nISBN:9780124058880).", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "Language": "en-GB", "Roxygen": "list(markdown = TRUE)", "RoxygenNote": "7.3.2", "Config/testthat/edition": "3", "URL": "https://github.com/Tony-Myers/qbrms", "BugReports": "https://github.com/Tony-Myers/qbrms/issues", "Additional_repositories": "https://inla.r-inla-download.org/R/stable/", "VignetteBuilder": "knitr", "Config/pak/sysreqs": "cmake make libuv1-dev zlib1g-dev", "Repository": "https://tony-myers.r-universe.dev", "Date/Publication": "2025-12-04 00:05:52 UTC", "RemoteUrl": "https://github.com/tony-myers/qbrms", "RemoteRef": "HEAD", "RemoteSha": "c02e90a61140dac2b578c1f8a3a9ef8898763c79", "NeedsCompilation": "yes", "Packaged": { "Date": "2026-05-14 09:10:18 UTC", "User": "root" }, "Author": "Tony Myers [aut, cre] (ORCID: )", "MD5sum": "393276bf124077e915fbb3e432f4ade2", "_user": "tony-myers", "_type": "src", "_file": "qbrms_1.0.1.tar.gz", "_fileid": 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"beta0", "beta1", "beta_variants", "logitbeta" ] }, { "page": "bf", "title": "Create a Bayesian Formula", "topics": [ "bf" ] }, { "page": "binomial", "title": "Binomial Family", "topics": [ "binomial" ] }, { "page": "c.qbrms_prior_spec", "title": "Combine Multiple Prior Specifications", "topics": [ "c.qbrms_prior_spec" ] }, { "page": "cauchy", "title": "Specify Cauchy Prior Distribution", "topics": [ "cauchy" ] }, { "page": "check_convergence", "title": "Quick model diagnostics", "topics": [ "check_convergence" ] }, { "page": "circular_normal", "title": "Circular Normal Family for Directional Data", "topics": [ "circular_normal", "von_mises" ] }, { "page": "coef.qbrms_fit", "title": "Extract Coefficients from qbrms Models", "topics": [ "coef.qbrms_fit" ] }, { "page": "coef.qbrms_multinomial_fit", "title": "Coefficients for multinomial qbrms fits", "topics": [ "coef.qbrms_multinomial_fit" ] }, { "page": "coef.tmb_ordinal_qbrms_fit", "title": "Coefficients Method for TMB Ordinal Fits", "topics": [ "coef.tmb_ordinal_qbrms_fit" ] }, { "page": "compare_models", "title": "Compare qbrms models", "topics": [ "compare_models" ] }, { "page": "compare_significance", "title": "Compare Significance Across Multiple Models", "topics": [ "compare_significance" ] }, { "page": "conditional_effects", "title": "Conditional effects (generic)", "topics": [ "conditional_effects" ] }, { "page": "conditional_effects_slices", "title": "Discrete-slice conditional effects (brms-style) for qbrms", "topics": [ "conditional_effects_slices" ] }, { "page": "conditional_effects.qbrms_fit", "title": "Conditional effects for qbrms Gaussian models", "topics": [ "conditional_effects.qbrms_fit" ] }, { "page": "conditional_effects.tmb_ordinal_qbrms_fit", "title": "Conditional Effects for TMB Ordinal Models", "topics": [ "conditional_effects.tmb_ordinal_qbrms_fit" ] }, { "page": "convert_family_to_inla", "title": "Convert Family Object to INLA-Compatible Specification", "topics": [ "convert_family_to_inla" ] }, { "page": "create_dummy_data", "title": "Create Dummy Data for Testing", "topics": [ "create_dummy_data" ] }, { "page": "create_prior_object", "title": "Create Prior-Only Object for pp_check", "topics": [ "create_prior_object" ] }, { "page": "cumulative", "title": "Cumulative Family for Ordinal Regression", "topics": [ "cumulative" ] }, { "page": "default_priors", "title": "Default Priors for qbrms Models", "topics": [ "default_priors" ] }, { "page": "density_plot", "title": "Density Plot for qbrms Models", "topics": [ "density_plot" ] }, { "page": "diagnose_binomial_mixed", "title": "Diagnose Binomial Mixed Effects Models", "topics": [ "diagnose_binomial_mixed" ] }, { "page": "diagnose_model", "title": "Automated Model Diagnostics and Recommendations", "topics": [ "diagnose_model" ] }, { "page": "drop_random_effects", "title": "Drop Random Effects from Formula", "topics": [ "drop_random_effects" ] }, { "page": "emmeans", "title": "Estimated marginal means 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"gaussian", "title": "Gaussian Family", "topics": [ "gaussian" ] }, { "page": "gen_student_t", "title": "Generalized t Family", "topics": [ "gen_student_t" ] }, { "page": "get_default_prior", "title": "Get Default Prior for Parameter Class", "topics": [ "get_default_prior" ] }, { "page": "gev", "title": "Generalized Extreme Value Family", "topics": [ "gev", "gumbel" ] }, { "page": "hdi", "title": "Highest Density Interval (HDI)", "topics": [ "hdi" ] }, { "page": "hurdle_families", "title": "Hurdle Families for Two-Part Models", "topics": [ "hurdle_families", "hurdle_negbinomial", "hurdle_poisson" ] }, { "page": "iid", "title": "IID Random Effects", "topics": [ "iid" ] }, { "page": "import_model", "title": "Import Model Specification from JSON", "topics": [ "import_model" ] }, { "page": "kfold_cv", "title": "K-fold cross-validation for qbrms models (ordinal and standard families)", "topics": [ "kfold_cv" ] }, { "page": "laplace", "title": "Laplace (Double Exponential) Family", "topics": [ "double_exponential", "laplace" ] }, { "page": "list_extended_families", "title": "List Available Extended Families", "topics": [ "list_extended_families" ] }, { "page": "lognormal", "title": "Lognormal Family Constructor", "topics": [ "lognormal", "lognormal_prior" ] }, { "page": "loo_compare", "title": "Compare models by LOO (default) or WAIC", "topics": [ "loo_compare" ] }, { "page": "model_builder", "title": "Interactive Model Builder for qbrms (console)", "topics": [ "model_builder" ] }, { "page": "model_lab_addin", "title": "qbrms Model Lab (RStudio Add-in)", "topics": [ "model_lab_addin" ] }, { "page": "model_workflow_addin", "title": "Launch Guided Bayesian Workflow (RStudio Add-in)", "topics": [ "model_workflow_addin" ] }, { "page": "multinomial", "title": "Multinomial Family", "topics": [ "multinomial" ] }, { "page": "neg_binomial", "title": "Negative Binomial Family", "topics": [ "neg_binomial" ] }, { "page": "negbinomial", "title": "Negative Binomial Family (Alias)", "topics": [ "negbinomial" ] }, { "page": "normal", "title": "Specify Normal Prior Distribution", "topics": [ "normal" ] }, { "page": "p_direction", "title": "Probability of Direction (pd)", "topics": [ "p_direction" ] }, { "page": "p_significance", "title": "Probability of Practical Significance (Enhanced bayestestR-style)", "topics": [ "p_significance" ] }, { "page": "plot_parameters", "title": "Plot Parameters with Prior/Posterior Comparison", "topics": [ "plot_parameters" ] }, { "page": "plot.qbrms_conditional_effects", "title": "Plot conditional effects for qbrms models", "topics": [ "plot.qbrms_conditional_effects" ] }, { "page": "plot.qbrms_diagnostics", "title": "Plot Method for Diagnostics", "topics": [ "plot.qbrms_diagnostics" ] }, { "page": "plot.qbrms_p_significance", "title": "Plot Method for Enhanced p_significance", "topics": [ "plot.qbrms_p_significance" ] }, { "page": "poisson", "title": "Poisson Family", "topics": [ "poisson" ] }, { "page": "pp_check", "title": "Posterior and prior predictive checks", "topics": [ "pp_check", "pp_check.qbrms_fit", "pp_check.qbrms_prior" ] }, { "page": "pp_check.tmb_ordinal_qbrms_fit", "title": "Posterior predictive checks for TMB ordinal models", "topics": [ "pp_check.tmb_ordinal_qbrms_fit" ] }, { "page": "print.qbrmb_fit", "title": "Print a qbrmb model fit", "topics": [ "print.qbrmb_fit" ] }, { "page": "print.qbrms_diagnostics", "title": "Print Method for Diagnostics", "topics": [ "print.qbrms_diagnostics" ] }, { "page": "print.qbrms_fit", "title": "Print Method for qbrms_fit Objects", "topics": [ "print.qbrms_fit" ] }, { "page": "print.qbrms_kfold", "title": "Print Method for qbrms_kfold Objects", "topics": [ "print.qbrms_kfold" ] }, { "page": "print.qbrms_loo_compare", "title": "Print Method for qbrms_loo_compare Objects", "topics": [ "print.qbrms_loo_compare" ] }, { "page": "print.qbrms_model_spec", "title": "Print Method for qbrms_model_spec", "topics": [ "print.qbrms_model_spec" ] }, { "page": "print.qbrms_multinomial_fit", "title": "Print method for multinomial qbrms fits", "topics": [ "print.qbrms_multinomial_fit" ] }, { "page": "print.qbrms_p_significance", "title": "Print Method for Enhanced p_significance", "topics": [ "print.qbrms_p_significance" ] }, { "page": "print.qbrms_prior_build", "title": "Print method for qbrms_prior_build objects", "topics": [ "print.qbrms_prior_build" ] }, { "page": "print.qbrms_prior_code", "title": "Print method for qbrms_prior_code objects", "topics": [ "print.qbrms_prior_code" ] }, { "page": "print.qbrms_prior_diagnostics", "title": "Print method for qbrms_prior_diagnostics objects", "topics": [ "print.qbrms_prior_diagnostics" ] }, { "page": "print.qbrms_prior_dist", "title": "Print Prior Distribution Objects", "topics": [ "print.qbrms_prior_dist" ] }, { "page": "print.qbrms_prior_list", "title": "Print Prior List Objects", "topics": [ "print.qbrms_prior_list" ] }, { "page": "print.qbrms_prior_spec", "title": "Print Prior Specification Objects", "topics": [ "print.qbrms_prior_spec" ] }, { "page": "print.qbrmsformula", "title": "Print method for qbrms formulas", "topics": [ "print.qbrmsformula" ] }, { "page": "print.summary.qbrms_fit", "title": "Print Method for summary.qbrms_fit Objects", "topics": [ "print.summary.qbrms_fit" ] }, { "page": "print.tmb_ordinal_qbrms_fit", "title": "Print Method for TMB Ordinal Fits", "topics": [ "print.tmb_ordinal_qbrms_fit" ] }, { "page": "prior", "title": "Specify Prior for Model Parameters", "topics": [ "prior" ] }, { "page": "prior_build_from_beliefs", "title": "Prior Build from Beliefs", "topics": [ "prior_build_from_beliefs" ] }, { "page": "prior_code", "title": "Format priors as qbrms prior() code", "topics": [ "prior_code" ] }, { "page": "prior_pp_diagnostics", "title": "Prior predictive diagnostics and sensibility report", "topics": [ "prior_pp_diagnostics" ] }, { "page": "prior_pp_summary", "title": "A convenience wrapper mirroring pp_check's show_observed flag", "topics": [ 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