Quick Bayesian Regression Models Using 'INLA' with 'brms' Syntax
![[R logo]](../../../doc/html/Rlogo.svg)
![[Up]](../../../doc/html/left.jpg)
![[Top]](../../../doc/html/up.jpg)
Documentation for package ‘qbrms’ version 1.0.1
Help Pages
A B C D E F G H I K L M N P Q R S T U V W Z
| qbrms-package | qbrms: Quick Bayesian Regression Models using INLA |
-- A --
| asymmetric_laplace | Asymmetric Laplace for Quantile Regression |
-- B --
| bayesfactor | Bayesian Hypothesis Testing (very simple approximations) |
| bayes_R2 | Bayesian R-squared for qbrms Models |
| Beta | Beta Family Constructor (Capital B) |
| beta0 | Alternative Beta Parameterizations |
| beta1 | Alternative Beta Parameterizations |
| beta_binomial | Beta Binomial Family for Overdispersed Binary Data |
| beta_prior | Specify Beta Prior Distribution |
| beta_variants | Alternative Beta Parameterizations |
| bf | Create a Bayesian Formula |
| binomial | Binomial Family |
-- C --
| c.qbrms_prior_spec | Combine Multiple Prior Specifications |
| cauchy | Specify Cauchy Prior Distribution |
| check_convergence | Quick model diagnostics |
| circular_normal | Circular Normal Family for Directional Data |
| coef.qbrms_fit | Extract Coefficients from qbrms Models |
| coef.qbrms_multinomial_fit | Coefficients for multinomial qbrms fits |
| coef.tmb_ordinal_qbrms_fit | Coefficients Method for TMB Ordinal Fits |
| compare_models | Compare qbrms models |
| compare_significance | Compare Significance Across Multiple Models |
| conditional_effects | Conditional effects (generic) |
| conditional_effects.qbrms_fit | Conditional effects for qbrms Gaussian models |
| conditional_effects.tmb_ordinal_qbrms_fit | Conditional Effects for TMB Ordinal Models |
| conditional_effects_slices | Discrete-slice conditional effects (brms-style) for qbrms |
| convert_family_to_inla | Convert Family Object to INLA-Compatible Specification |
| create_dummy_data | Create Dummy Data for Testing |
| create_prior_object | Create Prior-Only Object for pp_check |
| cumulative | Cumulative Family for Ordinal Regression |
-- D --
| default_priors | Default Priors for qbrms Models |
| density_plot | Density Plot for qbrms Models |
| diagnose_binomial_mixed | Diagnose Binomial Mixed Effects Models |
| diagnose_model | Automated Model Diagnostics and Recommendations |
| dic | Model comparison criteria for qbrms models |
| dic.qbrms_fit | Model comparison criteria for qbrms models |
| double_exponential | Laplace (Double Exponential) Family |
| drop_random_effects | Drop Random Effects from Formula |
-- E --
| emmeans | Estimated marginal means (compatibility wrapper) |
| exponential | Exponential Distribution (Prior or Family) |
| export_model | Export Model Specification |
-- F --
| family_info | Get Family Documentation |
| family_supports_quantile | Check if Family Supports Quantile Regression |
| fitted.qbrms_fit | Extract fitted values from qbrms models |
| fitted.tmb_ordinal_qbrms_fit | Fitted Values Method for TMB Ordinal Fits |
-- G --
| Gamma | Gamma family (GLM-style) |
| gamma | Gamma Distribution (Prior or Family) |
| Gamma_family | Gamma family (GLM-style) |
| gamma_prior | Gamma Distribution (Prior or Family) |
| gaussian | Gaussian Family |
| gen_student_t | Generalized t Family |
| get_default_prior | Get Default Prior for Parameter Class |
| gev | Generalized Extreme Value Family |
| gumbel | Generalized Extreme Value Family |
-- H --
| hdi | Highest Density Interval (HDI) |
| hurdle_families | Hurdle Families for Two-Part Models |
| hurdle_negbinomial | Hurdle Families for Two-Part Models |
| hurdle_poisson | Hurdle Families for Two-Part Models |
-- I --
| iid | IID Random Effects |
| import_model | Import Model Specification from JSON |
-- K --
| kfold_cv | K-fold cross-validation for qbrms models (ordinal and standard families) |
-- L --
| laplace | Laplace (Double Exponential) Family |
| list_extended_families | List Available Extended Families |
| logitbeta | Alternative Beta Parameterizations |
| lognormal | Lognormal Family Constructor |
| lognormal_prior | Lognormal Family Constructor |
| loo | Model comparison criteria for qbrms models |
| loo.qbrms_fit | Model comparison criteria for qbrms models |
| loo_compare | Compare models by LOO (default) or WAIC |
-- M --
| model_builder | Interactive Model Builder for qbrms (console) |
| model_lab_addin | qbrms Model Lab (RStudio Add-in) |
| model_workflow_addin | Launch Guided Bayesian Workflow (RStudio Add-in) |
| multinomial | Multinomial Family |
-- N --
| negbinomial | Negative Binomial Family (Alias) |
| neg_binomial | Negative Binomial Family |
| normal | Specify Normal Prior Distribution |
-- P --
| plot.qbrms_conditional_effects | Plot conditional effects for qbrms models |
| plot.qbrms_diagnostics | Plot Method for Diagnostics |
| plot.qbrms_p_significance | Plot Method for Enhanced p_significance |
| plot_parameters | Plot Parameters with Prior/Posterior Comparison |
| poisson | Poisson Family |
| pp_check | Posterior and prior predictive checks |
| pp_check.qbrms_fit | Posterior and prior predictive checks |
| pp_check.qbrms_prior | Posterior and prior predictive checks |
| pp_check.tmb_ordinal_qbrms_fit | Posterior predictive checks for TMB ordinal models |
| print.qbrmb_fit | Print a qbrmb model fit |
| print.qbrmsformula | Print method for qbrms formulas |
| print.qbrms_diagnostics | Print Method for Diagnostics |
| print.qbrms_fit | Print Method for qbrms_fit Objects |
| print.qbrms_kfold | Print Method for qbrms_kfold Objects |
| print.qbrms_loo_compare | Print Method for qbrms_loo_compare Objects |
| print.qbrms_model_spec | Print Method for qbrms_model_spec |
| print.qbrms_multinomial_fit | Print method for multinomial qbrms fits |
| print.qbrms_prior_build | Print method for qbrms_prior_build objects |
| print.qbrms_prior_code | Print method for qbrms_prior_code objects |
| print.qbrms_prior_diagnostics | Print method for qbrms_prior_diagnostics objects |
| print.qbrms_prior_dist | Print Prior Distribution Objects |
| print.qbrms_prior_list | Print Prior List Objects |
| print.qbrms_prior_spec | Print Prior Specification Objects |
| print.qbrms_p_significance | Print Method for Enhanced p_significance |
| print.summary.qbrms_fit | Print Method for summary.qbrms_fit Objects |
| print.tmb_ordinal_qbrms_fit | Print Method for TMB Ordinal Fits |
| prior | Specify Prior for Model Parameters |
| priors | Prior Distribution Specifications |
| prior_build_from_beliefs | Prior Build from Beliefs |
| prior_code | Format priors as qbrms prior() code |
| prior_exponential | Exponential Distribution (Prior or Family) |
| prior_pp_diagnostics | Prior predictive diagnostics and sensibility report |
| prior_pp_summary | A convenience wrapper mirroring pp_check's show_observed flag |
| prior_predictive_check | Create Prior Predictive Distribution Plot |
| prior_to_posterior_workflow | Complete Prior-to-Posterior Workflow |
| p_direction | Probability of Direction (pd) |
| p_significance | Probability of Practical Significance (Enhanced bayestestR-style) |
-- Q --
| qbrm | Alias for 'qbrms()' |
| qbrmb | Enhanced binomial mixed-effects modelling |
| qbrmb_aggressive | Aggressively regularised binomial mixed-effects model |
| qbrmb_regularised | Regularised binomial mixed-effects (enhanced strategy) |
| qbrmO | Quick Bayesian Ordinal Regression Models with Adaptive Centering |
| qbrms | Quick Bayesian Regression Models with Automatic Routing |
| qbrms-model-criteria | Model comparison criteria for qbrms models |
| qbrms_bayesian_analysis | Bayesian Analysis Functions (qbrms) |
| qbrms_binomial_regularised | Fixed Regularised Binomial Mixed Effects Fitting |
| qbrms_emmeans | Estimated Marginal Means for qbrms models |
| qbrms_fit_log | Get captured fit log from a qbrms object (if available) |
| qbrms_ordinal_binary | Ordinal regression via binary decomposition (fallback) |
| qbrms_set_verbosity | Set qbrms verbosity for the current session |
| quick_density_comparison | Quick Density Comparison |
-- R --
| random_walk_families | Random Walk Families |
| residuals.qbrms_fit | Extract residuals from qbrms models |
| rope_analysis | ROPE analysis |
| rw1 | Random Walk Families |
| rw2 | Random Walk Families |
-- S --
| simplex | Simplex Family for Compositional Data |
| skew_normal | Skew Normal Family |
| student | Student's t Family for Robust Regression |
| student_t | Student's t Family for Robust Regression |
| student_t_prior | Student's t Family for Robust Regression |
| summary.qbrmb_fit | Summary Method for qbrmb_fit Objects |
| summary.qbrms_fit | Summary Method for qbrms_fit Objects |
| summary.qbrms_multinomial_fit | Summary method for multinomial qbrms fits |
| summary.qbrms_p_significance | Summary Method for Enhanced p_significance |
| summary.tmb_ordinal_qbrms_fit | Summary Method for TMB Ordinal Fits |
-- T --
| tab_model | Create HTML Table for qbrms Models with Enhanced Styling |
| test_corrected_bayes_R2 | Test the corrected implementation with a mixed-effects example |
-- U --
| uniform | Specify Uniform Prior Distribution |
-- V --
| validate_family_quantile | Validate Family Quantile Combination |
| vcov.qbrms_fit | Extract Variance-Covariance Matrix from qbrms Models |
| vcov.tmb_ordinal_qbrms_fit | Variance-Covariance Matrix Method for TMB Ordinal Fits |
| view_table | Display HTML Table in Viewer |
| visualise_prior | Visualise Prior Distributions |
| von_mises | Circular Normal Family for Directional Data |
-- W --
| waic | Model comparison criteria for qbrms models |
| waic.qbrms_fit | Model comparison criteria for qbrms models |
| weibull | Weibull Survival Family |
-- Z --
| zero_inflated_negbinomial | Zero-Inflated Negative Binomial Family |
| zero_inflated_poisson | Zero-Inflated Poisson Family |
| zinb | Zero-Inflated Negative Binomial Family |
| zip | Zero-Inflated Poisson Family |