This function derives the Loglikelihood for ui.probit
.
1 | LogL.probit(par, rho, X.z = X.z, X.y = X.y, y = y, z = z)
|
par |
Coeficient values the logliklihood should be drived at. |
rho |
The value of the sensitivity parameter. |
X.z |
covariate matrix for missingness mechanism |
X.y |
covariate matrix for the outcome regression |
y |
outcome vector |
z |
indicator of wether y is missing or not |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.