fee_pois: First-Exposure Effect for One-Inflated Positive Poisson Model

In fee: Estimate the First-Exposure Effect (FEE) using Count Data Models

First-Exposure Effect for One-Inflated Positive Poisson Model

Description

Computes the first-exposure effect (FEE) for a model estimated using the one-inflated positive Poisson distribution. The FEE represents the change in expected counts associated with the first exposure to treatment, relative to the counterfactual positive Poisson model.This function is used internally by fee at given covariate values.

Usage

fee_pois(b, g, X, Z)

Arguments

b	A numeric vector of estimated coefficients for the rate.
g	A numeric vector of estimated coefficients for inflation.
X	A numeric matrix of covariates for the rate.
Z	A numeric matrix of covariates for inflation.

Value

A numeric vector of first-exposure effect(s).

See Also

fee, fee_negbin

fee documentation built on Aug. 8, 2025, 7:45 p.m.