G_matrix: Generate the G matrix for variance estimation in low...
In chenchi0526/SIsMiss:
Description
Usage
Arguments
Value
Description
Generate the G matrix for variance estimation in low dimension scenario.
Usage
1
G_matrix(z, u, z.sigma_est)
Arguments
z
Vector. The fully observed observed shadow variable.
u
Matrix. The covariate matrix excluding shadow variable z (fully observed).
z.sigma_est
The estimated standard error of z.
Value
G matrix for variance estimation in low dimension scenario.
chenchi0526/SIsMiss documentation built on Dec. 8, 2020, 2:35 a.m.
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Description Usage Arguments Value
Description
Generate the G matrix for variance estimation in low dimension scenario.
Usage
1 | G_matrix(z, u, z.sigma_est)
|
Arguments
z |
Vector. The fully observed observed shadow variable. |
u |
Matrix. The covariate matrix excluding shadow variable z (fully observed). |
z.sigma_est |
The estimated standard error of z. |
Value
G matrix for variance estimation in low dimension scenario.
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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