Bayesian Regression Modeling Strategies

Documentation for package ‘rmsb’ version 0.0.2

rmsb-package	The 'rmsb' package.
as.data.frame.Ocens	Convert 'Ocens' Object to Data Frame to Facilitate Subset
blrm	Bayesian Binary and Ordinal Logistic Regression
blrmStats	Compute Indexes of Predictive Accuracy and Their Uncertainties
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()'
Ocens	Censored Ordinal Variable
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