LogLikelihood_offset: Log-Likelihood Offset

In benkeser/survtmle: Compute Targeted Minimum Loss-Based Estimates in Right-Censored Survival Settings

Log-Likelihood Offset

Description

Computes the log-likelihood for a logistic regression model with an offset. Used by optim on occasion.

Usage

LogLikelihood_offset(beta, Y, H, offset)

Arguments

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.

Value

Numeric of the summed negative log-likelihood loss over observations.

benkeser/survtmle documentation built on Nov. 23, 2023, 4:45 a.m.