Wald2: Bilateral Wald Test via Least Squares.
In zrmacc/BNR: Bivariate Normal Regression
Description
Usage
Arguments
Value
Description
Performs a Wald test of the null hypothesis that a subset of the regression
parameters are zero for both outcomes.
Usage
1
Wald2(y1, y2, X, L)
Arguments
y1
First outcome vector.
y2
Second outcome vector.
X
Model matrix.
L
Logical vector, with as many entires as columns in the design
matrix, indicating which columns have coefficient zero under the null.
Value
A numeric vector containing the score statistic, the degrees of
freedom, and a p-value.
zrmacc/BNR documentation built on June 22, 2019, 8:56 p.m.
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Description Usage Arguments Value
Description
Performs a Wald test of the null hypothesis that a subset of the regression parameters are zero for both outcomes.
Usage
1 | Wald2(y1, y2, X, L)
|
Arguments
y1 |
First outcome vector. |
y2 |
Second outcome vector. |
X |
Model matrix. |
L |
Logical vector, with as many entires as columns in the design matrix, indicating which columns have coefficient zero under the null. |
Value
A numeric vector containing the score statistic, the degrees of freedom, and a p-value.
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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