grr: Gradient for the loglikelihood used by ui_probit
In ui: Uncertainty Intervals and Sensitivity Analysis for Missing Data
grr R Documentation
Gradient for the loglikelihood used by ui_probit
Description
This function derives the gradient in order for ui_probit to run faster.
Usage
grr(par, rho, Xz = Xz, Xy = Xy, y = y, z = z)
Arguments
par
Coefficients.
rho
Rho.
Xz
Covariate matrix for missingness.
Xy
Covariate matrix for outcome.
y
Outcome.
z
Missing or not.
ui documentation built on June 25, 2026, 5:09 p.m.
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| grr | R Documentation |
Gradient for the loglikelihood used by ui_probit
Description
This function derives the gradient in order for ui_probit to run faster.
Usage
grr(par, rho, Xz = Xz, Xy = Xy, y = y, z = z)
Arguments
par |
Coefficients. |
rho |
Rho. |
Xz |
Covariate matrix for missingness. |
Xy |
Covariate matrix for outcome. |
y |
Outcome. |
z |
Missing or not. |
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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