qbrms1.0.1 package

Additional Statistical Families for qbrms

Asymmetric Laplace for Quantile Regression

Bayesian R-squared for qbrms Models

Bayesian Hypothesis Testing (very simple approximations)

Beta Binomial Family for Overdispersed Binary Data

Specify Beta Prior Distribution

Alternative Beta Parameterizations

Beta Family Constructor (Capital B)

Create a Bayesian Formula

Binomial Family

Build HTML Table with Enhanced Styling

Combine Multiple Prior Specifications

Specify Cauchy Prior Distribution

Quick model diagnostics

Circular Normal Family for Directional Data

Clean up malformed coefficient names from mixed effects models

Extract Coefficients from qbrms Models

Coefficients for multinomial qbrms fits

Coefficients Method for TMB Ordinal Fits

Compare qbrms models

Compare Significance Across Multiple Models

Compute Data-Driven Threshold Priors

Discrete-slice conditional effects (brms-style) for qbrms

Conditional effects for qbrms Gaussian models

Conditional effects (generic)

Conditional Effects for TMB Ordinal Models

Convert Family Object to INLA-Compatible Specification

Create Dummy Data for Prior Predictive Checks

Create Dummy Data for Testing

Create Fixed Effects Summary Table

Create qbrms-Compatible Result Object

Create Prior-Only Object for pp_check

Utility operator

Cumulative Family for Ordinal Regression

Default Priors for qbrms Models

Density Plot for qbrms Models

Diagnose Binomial Mixed Effects Models

Automated Model Diagnostics and Recommendations

Add comprehensive post-fitting diagnostics

Add Reference Distributions

Analyse grouping structure

Apply inverse link function

Apply Single Prior Specification

Apply threshold constraints manually (fallback)

Assess group-specific problems

Data augmentation for model stability

Intelligent data augmentation

Compute Bayesian R-squared exactly as in brms

Check Convergence

Check for global separation issues

Check for Influential Observations

Check Model Fit

Check Posterior Distribution

Check Residuals

Check for sparse outcomes

Choose optimal fitting strategy

Improved Threshold Prior Computation - ENHANCED VERSION

Compute Robust Variance-Covariance Matrix - CORRECTED VERSION

Compute Threshold Standard Errors Using Delta Method - NEW FUNCTION

Convert lme4-style formula to INLA format

Create balanced augmented observations

Create Base Density Plot

Create Ordinal Routing Object

Create Prior-Only Plot

Create Synthetic Data for Prior Checks

Determine X-axis Limits

Internal function to diagnose binomial issues

Comprehensive diagnostic assessment

Remove random effects from formula for design matrix creation

Drop random-effect terms from a formula

Estimate random effects variance from data - CORRECTED

Evaluate Prior Density

Export as JSON

Export as Markdown

Export as R Script

Export as Plain Text

Extract group variable from formula

Extract INLA fitted values that include random effects - CORRECTED

Extract INLA marginals with random effects - CORRECTED

Extract Parameter Distribution Densities

Extract Prior Specifications (Standalone Version)

Extract random effects variance - CORRECTED

Extract Response Distribution Densities

Aggressive strategy

Enhanced strategy

Minimal strategy

Ridge regression fallback

Core INLA fitting function

Fit model using specified strategy

Format Prior Label

Simplified prediction function for emmeans (avoids dimension issues)

Generate posterior expected predicted values - CORRECTED for mixed mod...

Generate Prior-Only Samples

Generate Prior Predictive Samples

Generate random effects for one posterior draw - CORRECTED

Generate Response from Family Distribution

Infer recommended families from a response vector

Build Formula

Characterise Response Variable

Create Family Object

Generate Model Code

Get Data from User

Get Predictor Variables

Get Prior Specifications

Get Random Effects Structure

Get Response Variable

Present Summary

Let User Select Family

Suggest Appropriate Families

Parse Prior Specification

Parse Prior String

Prepare random effects structure - CORRECTED

Print Diagnostic Summary

Compute geometric covariance from design matrix properties

Compute leverage-aware confidence intervals

Compute OLS covariance matrix as fallback

Enhance covariance matrix to ensure proper correlations

Generate spaghetti draws

Remove random effects from formula

Reconstruct predictions manually - CORRECTED for mixed models

Regularize Hessian Matrix for Numerical Stability

Remove random effects from formula

Sample from INLA random effects posteriors - CORRECTED

Safe Prior Sampling

Sample from Prior Distribution

Summarise Bayesian R-squared values

Validate qbrmb inputs

Visualise Prior Comparison

Drop Random Effects from Formula

Estimated marginal means (compatibility wrapper)

Exponential Distribution (Prior or Family)

Export Model Specification

Extract Family Name from INLA Family Specification

Extract Model Information for HTML Table

Extract Model Metrics

Extract Ordinal Information from Family

Extract Parameter Estimates and Standard Errors - CORRECTED VERSION

Extract Routing Information from Family Specification

Family Conversion and Utilities for qbrms Package

Family conversion utilities for qbrms package

Get Family Documentation

Check if Family Supports Quantile Regression

Fallback model fitting for edge cases

Fit Fixed Effects Model (standalone to avoid recursion)

Fit Mixed Effects Model using INLA with proper formula conversion

Robust model fitting with better error handling (FIXED - no recursion)

Fit Multinomial Model using INLA or fallback

Fit ordinal model with fallbacks

Enhanced TMB Model Fitting with Better Error Handling - CORRECTED VERS...

Extract fitted values from qbrms models

Fitted Values Method for TMB Ordinal Fits

Format Bayes Factor for Display

Format numerical values to specified digits

Format Duration

Format Number for Display

Format data frame with numerical columns

Format Percentage for Display

Gamma family (GLM-style)

Gamma Distribution (Prior or Family)

Gaussian Family

Generalized t Family

Generate posterior predictive samples

Generate Prior Predictions (Simple)

Generate prior predictive samples (compat wrapper) - FIXED

Generate CSS for different table styles

Get Default Prior for Parameter Class

Get Enhanced INLA Control Settings for Family-Specific Stability

Get Predictor Variables from Formula

Get Random Effects Standard Deviation Summary

Generalized Extreme Value Family

Handle Missing Data

Highest Density Interval (HDI)

Hurdle Families for Two-Part Models

IID Random Effects

Import Model Specification from JSON

Check if family is ordinal

K-fold cross-validation for qbrms models (ordinal and standard familie...

Laplace (Double Exponential) Family

List Available Extended Families

Lognormal Family Constructor

Compare models by LOO (default) or WAIC

Interactive Model Builder for qbrms (console)

Model Fitting Functions for qbrms Package

qbrms Model Lab (RStudio Add-in)

Launch Guided Bayesian Workflow (RStudio Add-in)

Multinomial Family

Negative Binomial Family

Negative Binomial Family (Alias)

Specify Normal Prior Distribution

Null Coalescing Operator

Ordinal Plots and Posterior Predictive Checks

Probability of Direction (pd)

Probability of Practical Significance (Enhanced bayestestR-style)

Parse brms Formula Objects

Parse Formula Components

Parse Ordinal Formula Components

Plot Parameters with Prior/Posterior Comparison

Plot conditional effects for qbrms models

Plot Method for Diagnostics

Plot Method for Enhanced p_significance

Poisson Trick for Multinomial

Poisson Family

Prior Predictive Checks Without Data

Posterior and prior predictive checks

Posterior predictive checks for TMB ordinal models

Prepare Data for TMB Ordinal Model

Print a qbrmb model fit

Print Method for Diagnostics

Print Method for qbrms_fit Objects

Print Method for qbrms_kfold Objects

Print Method for qbrms_loo_compare Objects

Print Method for qbrms_model_spec

Print method for multinomial qbrms fits

Print Method for Enhanced p_significance

Print method for qbrms_prior_build objects

Print method for qbrms_prior_code objects

Print method for qbrms_prior_diagnostics objects

Print Prior Distribution Objects

Print Prior List Objects

Print Prior Specification Objects

Print method for qbrms formulas

Print Method for summary.qbrms_fit Objects

Print Method for TMB Ordinal Fits

Prior Build from Beliefs

Prior Predictive Checks and Density Plotting

Format priors as qbrms prior() code

Prior predictive diagnostics and sensibility report

A convenience wrapper mirroring pp_check's show_observed flag

Create Prior Predictive Distribution Plot

Complete Prior-to-Posterior Workflow

Specify Prior for Model Parameters

Prior Distribution Specifications

Enhanced Prior Processing with Adaptive Centering - CORRECTED VERSION

Alias for qbrms()

Aggressively regularised binomial mixed-effects model

Regularised binomial mixed-effects (enhanced strategy)

Enhanced binomial mixed-effects modelling

Quick Bayesian Ordinal Regression Models with Adaptive Centering

Bayesian Analysis Functions (qbrms)

Fixed Regularised Binomial Mixed Effects Fitting

Estimated Marginal Means for qbrms models

Get captured fit log from a qbrms object (if available)

Ordinal regression via binary decomposition (fallback)

Set qbrms verbosity for the current session

Internal globals for qbrms

Internal import directives for qbrms

Model comparison criteria for qbrms models

qbrms: Quick Bayesian Regression Models using INLA

Quick Bayesian Regression Models with Automatic Routing

Quick Density Comparison

Random Walk Families

Check if Family Requires Routing to Specialist Implementation

Check if Family Requires Special Handling

Extract residuals from qbrms models

ROPE analysis

Safe construction of model matrices

Sanitize Formula (Distributional Safety Catch)

Set Up TMB Model Object

Simplex Family for Compositional Data

Skew Normal Family

Student's t Family for Robust Regression

Summary Method for qbrmb_fit Objects

Summary Method for qbrms_fit Objects

Summary method for multinomial qbrms fits

Summary Method for Enhanced p_significance

Summary Method for TMB Ordinal Fits

Create HTML Table for qbrms Models with Enhanced Styling

Test the corrected implementation with a mixed-effects example

Specify Uniform Prior Distribution

Validate Family-Specific Data Constraints

Validate Family Quantile Combination

Validate data before model fitting

Extract Variance-Covariance Matrix from qbrms Models

Variance-Covariance Matrix Method for TMB Ordinal Fits

Display HTML Table in Viewer

Visualise Prior Distributions

Weibull Survival Family

Zero-Inflated Negative Binomial Family

Zero-Inflated Poisson Family