fit.bnr: Fit Bivariate Normal Regression Model.
In zrmacc/BNR: Bivariate Normal Regression
Description
Usage
Arguments
Value
Description
Estimation procedure for bivariate normal regression models.
Usage
1
fit.bnr(y1, y2, X, sig = 0.05)
Arguments
y1
First outcome vector.
y2
Second outcome vector.
X
Target model matrix.
sig
Significance level.
Value
An object of class 'bnr' with slots containing the estimated regression
coefficients, the target-surrogate covariance matrix, the information matrices
for regression parameters, and the residuals.
zrmacc/BNR documentation built on June 22, 2019, 8:56 p.m.
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Description Usage Arguments Value
Description
Estimation procedure for bivariate normal regression models.
Usage
1 | fit.bnr(y1, y2, X, sig = 0.05)
|
Arguments
y1 |
First outcome vector. |
y2 |
Second outcome vector. |
X |
Target model matrix. |
sig |
Significance level. |
Value
An object of class 'bnr' with slots containing the estimated regression coefficients, the target-surrogate covariance matrix, the information matrices for regression parameters, and the residuals.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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