| bnr-class | Bivariate Regression Model |
| CheckInit | Check Initiation |
| CheckTestSpec | Check Test Specification |
| coef.bnr | Extract Coefficients from Bivariate Regression Model |
| CovInfo | Covariance Information Matrix |
| CovTab | Tabulate Covariance Parameters |
| CovUpdate | Covariate Update |
| Fit.BNEM | Fit Bivariate Normal Regression Model via Expectation Maximization. |
| Fit.BNLS | Fit Bivariate Normal Regression Model via Least Squares |
| Fit.BNR | Fit Bivariate Normal Regression Model. |
| fitOLS | Ordinary Least Squares |
| FormatOutput | Format Output |
| IterUpdate | Update Iteration |
| matDet | Matrix Determinant |
| matInv | Matrix Inverse |
| matIP | Matrix Inner Product |
| matOP | Matrix Outer Product |
| matQF | Quadratic Form |
| MMP | Matrix Matrix Product |
| ObsLogLik | Observed Data Log Likelihood |
| ParamInit | Parameter Initialization |
| PartitionData | Partition Data by Outcome Missingness Pattern. |
| print.bnr | Print for Bivariate Regression Model |
| rBNR | Simulate Bivariate Normal Data with Missingness |
| RegInfo | Regression Information |
| RegTab | Tabulate Regression Coefficients |
| RegUpdate | Regression Update |
| residuals.bnr | Extract Residuals from Bivariate Regression Model |
| SchurC | Schur complement |
| Score.BNEM | Score Test via Expectation Maximization. |
| show-method | Show for Bivariate Regression Model |
| SurrogateRegression | SurrogateRegression: Surrogate Outcome Regression Analysis |
| Test.BNR | Test Bivariate Normal Regression Model. |
| tr | Matrix Trace |
| UpdateEM | EM Update |
| vcov.bnr | Extract Covariance Matrix from Bivariate Normal Regression Model |
| Wald.BNEM | Wald Test via Expectation Maximization. |
| Wald.BNLS | Wald Test via Least Squares. |