FitBNLS {SurrogateRegression} | R Documentation |
Fit Bivariate Normal Regression Model via Least Squares
Description
Estimation procedure for bivariate normal regression models in which only the target outcome is subject to missingness.
Usage
FitBNLS(t, s, X, sig = 0.05)
Arguments
t |
Target outcome vector. |
s |
Surrogate outcome vector. |
X |
Model matrix. |
sig |
Type I error level. |
Details
The model matrix is expected in numeric format. Include an intercept if required. Expand factors and interactions in advance.
Value
An object of class 'bnr' with slots containing the estimated regression coefficients, the target-surrogate covariance matrix, the information matrices for the regression and covariance parameters, and the residuals.
[Package SurrogateRegression version 0.6.0.1 Index]