R: Bayesian Regression Modeling Strategies

# Bayesian Regression Modeling Strategies

## Documentation for package ‘rmsb’ version 1.1-2

- DESCRIPTION file
- Package NEWS

## Help Pages

rmsb-package | The 'rmsb' package.
blrm | Bayesian Binary and Ordinal Logistic Regression
blrmStats | Compute Indexes of Predictive Accuracy and Their Uncertainties
cluster | cluster
coef.rmsb | Extract Bayesian Summary of Coefficients
compareBmods | Compare Bayesian Model Fits
distSym | Distribution Symmetry Measure
ExProb.blrm | Function Generator for Exceedance Probabilities for 'blrm()'
getParamCoef | Get a Bayesian Parameter Vector Summary
HPDint | Highest Posterior Density Interval
Mean.blrm | Function Generator for Mean Y for 'blrm()'
pdensityContour | Bivariate Posterior Contour
plot.PostF | Plot Posterior Density of 'PostF'
plot.rmsb | Plot Posterior Densities and Summaries
PostF | Function Generator for Posterior Probabilities of Assertions
predict.blrm | Make predictions from a 'blrm()' fit
print.blrm | Print 'blrm()' Results
print.blrmStats | Print Details for 'blrmStats' Predictive Accuracy Measures
print.predict.blrm | Print Predictions for 'blrm()'
print.rmsb | Basic Print for Bayesian Parameter Summary
Quantile.blrm | Function Generator for Quantiles of Y for 'blrm()'
rmsb | The 'rmsb' package.
selectedQr | QR Decomposition Preserving Selected Columns
stackMI | Bayesian Model Fitting and Stacking for Multiple Imputation
stanDx | Print Stan Diagnostics
stanDxplot | Diagnostic Trace Plots
stanGet | Get Stan Output
tauFetch | Fetch Partial Proportional Odds Parameters
vcov.rmsb | Variance-Covariance Matrix