WaldBNLS: Wald Test via Least Squares.
In zrmacc/BNEM: Surrogate Outcome Regression Analysis
WaldBNLS R Documentation
Wald Test via Least Squares.
Description
Performs a Wald test of the null hypothesis that a subset of the regression
parameters for the target outcome are zero.
Usage
WaldBNLS(t, s, X, is_zero)
Arguments
t
Target outcome vector.
s
Surrogate outcome vector.
X
Model matrix.
is_zero
Logical vector, with as many entires as columns in the target model
matrix, indicating which columns have coefficient zero under the null.
Value
A numeric vector containing the Wald statistic, the degrees of
freedom, and a p-value.
zrmacc/BNEM documentation built on March 31, 2024, 12:20 a.m.
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| WaldBNLS | R Documentation |
Wald Test via Least Squares.
Description
Performs a Wald test of the null hypothesis that a subset of the regression parameters for the target outcome are zero.
Usage
WaldBNLS(t, s, X, is_zero)
Arguments
t |
Target outcome vector. |
s |
Surrogate outcome vector. |
X |
Model matrix. |
is_zero |
Logical vector, with as many entires as columns in the target model matrix, indicating which columns have coefficient zero under the null. |
Value
A numeric vector containing the Wald 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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