Man pages for rmsb
Bayesian Regression Modeling Strategies
| blrm | Bayesian Binary and Ordinal Logistic Regression |
| blrmStats | Compute Indexes of Predictive Accuracy and Their... |
| 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-package | 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 |
