A B C D E F G H I L N P Q R S V
| glmbayes-package | glmbayes: Bayesian Generalized Linear Models with iid Sampling |
| add_to_libpath_linux | Add Directories to PATH or LD_LIBRARY_PATH |
| add_to_path | Add Directories to PATH or LD_LIBRARY_PATH |
| add_to_path_linux | Add Directories to PATH or LD_LIBRARY_PATH |
| add_to_path_windows | Add Directories to PATH or LD_LIBRARY_PATH |
| AMI | Amitriptyline overdose data |
| anova.glmb | Analysis of Deviance for Bayesian Generalized Linear Model Fits |
| BikeSharing | Bike Sharing Dataset (Processed) |
| Boston_centered | Boston housing data with mean-centered predictors |
| carinsca | Canadian Automobile Insurance Claims for 1957-1958 |
| case.names.glmb | Case and Variable Names of Fitted Models |
| check_runtime_env | GPU and OpenCL Diagnostics for glmbayes |
| Cleveland | Cleveland Heart Disease Dataset |
| compute_gaussian_prior | Compute Calibrated Gaussian Normal–Gamma Prior Components |
| confint.glmb | Credible Intervals for Model Parameters |
| cooks.distance.glmb | Bayesian Regression Diagnostics |
| ctrgamma | The Central Gamma Distribution |
| detect_compute_runtimes | GPU and OpenCL Diagnostics for glmbayes |
| detect_environment_and_gpus | GPU and OpenCL Diagnostics for glmbayes |
| detect_or_install_gpu_drivers | GPU and OpenCL Diagnostics for glmbayes |
| deviance.rglmb | Model Deviance |
| dfbetas.glmb | Bayesian Regression Diagnostics |
| dGamma | Prior Family Objects for Bayesian Models |
| diagnose_glmbayes | GPU and OpenCL Diagnostics for glmbayes |
| dIndependent_Normal_Gamma | Prior Family Objects for Bayesian Models |
| directional_tail | Directional Tail Diagnostic |
| dNormal | Prior Family Objects for Bayesian Models |
| dNormal_Gamma | Prior Family Objects for Bayesian Models |
| dummy.coef.glmb | Extract Coefficients in Original Coding |
| EnvelopeBuild | GPU-Accelerated Envelope Construction for Posterior Simulation |
| EnvelopeCentering | Envelope Centering for Bayesian Gaussian Regression |
| EnvelopeDispersionBuild | Builds Dispersion-Aware Envelope for Simulation |
| EnvelopeEval | Evaluate Negative Log-Likelihood and Gradients |
| EnvelopeOpt | Envelope Sizing and Optimization |
| EnvelopeOrchestrator | Envelope Construction Orchestrator for Bayesian Gaussian Regression |
| EnvelopeSetGrid | GPU-Accelerated Envelope Construction for Posterior Simulation |
| EnvelopeSetLogP | GPU-Accelerated Envelope Construction for Posterior Simulation |
| EnvelopeSize | Envelope Sizing and Optimization |
| EnvelopeSort | Sorts Envelope function for simulation |
| extractAIC.glmb | Extract DIC from a Fitted Bayesian Model |
| extractAIC.rglmb | Extract DIC from a Fitted Bayesian Model |
| extractDIC | Extract DIC from a Fitted Bayesian Model |
| formula.summary.rglmb | Model Formulae |
| Gamma_ct | The Central Gamma Distribution |
| get_opencl_core_count | Get the number of available OpenCL compute units |
| glmb | Fitting Bayesian Generalized Linear Models |
| glmb.covratio | Bayesian Regression Diagnostics |
| glmb.dffits | Bayesian Regression Diagnostics |
| glmb.influence.measures | Bayesian Regression Diagnostics |
| glmb.wfit | Bayesian Weighted Fitting Engines |
| glmbayes | glmbayes: Bayesian Generalized Linear Models with iid Sampling |
| glmbfamfunc | Return family functions used during simulation and post processing |
| glmb_Standardize_Model | Standardize A Non-Gaussian Model |
| gpu_diagnostics | GPU and OpenCL Diagnostics for glmbayes |
| gpu_names | GPU and OpenCL Diagnostics for glmbayes |
| has_opencl | GPU and OpenCL Diagnostics for glmbayes |
| influence.glmb | Bayesian Regression Diagnostics |
| InvGamma_ct | The Central Inverse-Gamma Distribution |
| lmb | Fitting Bayesian Linear Models |
| load_kernel_library | Load OpenCL Kernel Source Files |
| load_kernel_source | Load OpenCL Kernel Source Files |
| logLik.glmb | Extract Log-Likelihood |
| Normal_ct | The Central Normal Distribution |
| pfamily | Prior Family Objects for Bayesian Models |
| pgamma_ct | The Central Gamma Distribution |
| pinvgamma_ct | The Central Inverse-Gamma Distribution |
| plot.glmb | Plot posterior draws for objects of class 'glmb'. |
| pnorm_ct | The Central Normal Distribution |
| predict.glmb | Predict Method for Bayesian GLM Fits |
| print.directional_tail | Directional Tail Diagnostic |
| print.dummy_coef.glmb | Extract Coefficients in Original Coding |
| print.glmb | Fitting Bayesian Generalized Linear Models |
| print.glmbfamfunc | Return family functions used during simulation and post processing |
| print.lmb | Fitting Bayesian Linear Models |
| print.pfamily | Prior Family Objects for Bayesian Models |
| print.PriorSetup | Setup Prior Objects |
| print.rGamma_reg | Simulation Functions for Bayesian Generalized Linear Models |
| print.rglmb | The Bayesian Generalized Linear Model Distribution |
| print.rlmb | The Bayesian Linear Model Distribution |
| print.simfunction | Simulation Functions for Bayesian Generalized Linear Models |
| print.summary.glmb | Summarizing Bayesian Generalized Linear Model Fits |
| print.summary.rGamma_reg | Summarizing Bayesian gamma_reg Distribution Functions |
| print.summary.rglmb | Summarizing Bayesian Generalized Linear Model Distribution Functions |
| Prior_Check | Checks for Prior-data conflicts |
| Prior_Setup | Setup Prior Objects |
| qinvgamma_ct | The Central Inverse-Gamma Distribution |
| residuals.glmb | Accessing Bayesian Generalized Linear Model Fits |
| residuals.lmb | Accessing Bayesian Generalized Linear Model Fits |
| residuals.rglmb | Accessing Bayesian Generalized Linear Model Fits |
| rgamma_ct | The Central Gamma Distribution |
| rGamma_reg | Simulation Functions for Bayesian Generalized Linear Models |
| rglmb | The Bayesian Generalized Linear Model Distribution |
| rIndepNormalGammaReg_std | The Bayesian Gaussian Regression with Independent Normal-Gamma Prior in Standard Form |
| rindepNormalGamma_reg | Simulation Functions for Bayesian Generalized Linear Models |
| rinvgamma_ct | The Central Inverse-Gamma Distribution |
| rlmb | The Bayesian Linear Model Distribution |
| rNormalGamma_reg | Simulation Functions for Bayesian Generalized Linear Models |
| rNormalGLM_std | The Bayesian Generalized Linear Model Distribution in Standard Form |
| rNormal_reg | Simulation Functions for Bayesian Generalized Linear Models |
| rNormal_reg.wfit | Bayesian Weighted Fitting Engines |
| rnorm_ct | The Central Normal Distribution |
| rstandard.glmb | Bayesian Regression Diagnostics |
| rstudent.glmb | Bayesian Regression Diagnostics |
| simfuncs | Simulation Functions for Bayesian Generalized Linear Models |
| simfunction | Simulation Functions for Bayesian Generalized Linear Models |
| simulate.glmb | Simulate Responses |
| SimulationPipeline | Low-Level Simulation Pipeline for Bayesian GLMs |
| summary.glmb | Summarizing Bayesian Generalized Linear Model Fits |
| summary.rGamma_reg | Summarizing Bayesian gamma_reg Distribution Functions |
| summary.rglmb | Summarizing Bayesian Generalized Linear Model Distribution Functions |
| variable.names.glmb | Case and Variable Names of Fitted Models |
| vcov.glmb | Calculate Variance-Covariance Matrix for a Fitted Model Object |
| verify_opencl_runtime | GPU and OpenCL Diagnostics for glmbayes |