Computes the log-likelihood for a logistic regression model
with an offset. Used by optim on occasion.
LogLikelihood_offset(beta, Y, H, offset)
| beta | A vector of coefficients in a logistic GLM. |
|---|---|
| Y | A vector of the outcome. |
| H | The matrix of covariates. |
| offset | The vector of offsets. |
Numeric of the summed negative log-likelihood loss over observations.