Description Usage Arguments Value
Inference procedure for bivariate normal regression models. Performs bilateral tests that a subset of the regression parameters are zero for both outcomes, and unilateral tests that a subset of the regression parameters are zero for the first outcome only.
1 |
y1 |
First outcome vector. |
y2 |
Second outcome vector. |
X |
Model matrix. |
L |
Logical vector, with as many entires as columns in the target model matrix, indicating which columns have coefficient zero under the null. |
test |
Either Score or Wald. Only Wald is available with unilateral. |
both |
If TRUE, performs the bilateral test. |
A numeric vector containing the test statistic, the degrees of freedom, and a p-value.
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