Man pages for zrmacc/BNEM
Surrogate Outcome Regression Analysis
| bnr-class | Bivariate Regression Model |
| bnr-method | Show for 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 |
| FitBNEM | Fit Bivariate Normal Regression Model via Expectation... |
| FitBNLS | Fit Bivariate Normal Regression Model via Least Squares |
| FitBNR | 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 |
| ScoreBNEM | Score Test via Expectation Maximization. |
| SurrogateRegression | SurrogateRegression: Surrogate Outcome Regression Analysis |
| TestBNR | Test Bivariate Normal Regression Model. |
| tr | Matrix Trace |
| UpdateEM | EM Update |
| vcov.bnr | Extract Covariance Matrix from Bivariate Normal Regression... |
| WaldBNEM | Wald Test via Expectation Maximization. |
| WaldBNLS | Wald Test via Least Squares. |
