SurrogateRegression-package |
SurrogateRegression: Surrogate Outcome Regression Analysis |
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 |
FitBNEM |
Fit Bivariate Normal Regression Model via Expectation Maximization. |
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. |
show-method |
Show for Bivariate Regression Model |
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 Model |
WaldBNEM |
Wald Test via Expectation Maximization. |
WaldBNLS |
Wald Test via Least Squares. |