R: Quick Bayesian Regression Models Using 'INLA' with 'brms' Syntax

# Quick Bayesian Regression Models Using 'INLA' with 'brms' Syntax

## Documentation for package ‘qbrms’ version 1.0.1

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS

## 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