E_negbin: Expected Value for One-Inflated Zero-Truncated Negative...

In oneinfl: Estimates OIPP and OIZTNB Regression Models

Expected Value for One-Inflated Zero-Truncated Negative Binomial Distribution

Description

Computes the expected value from a one-inflated, zero-truncated negative binomial (OIZTNB) distribution. This function calculates the expected value based on the model parameters and covariates.

Usage

E_negbin(b, g, a, X, Z)

Arguments

b	Numeric vector of coefficients for the main model.
g	Numeric vector of coefficients for the one-inflation process.
a	Numeric scalar, the overdispersion parameter of the negative binomial distribution.
X	Matrix of predictors for the main model, where rows correspond to observations and columns to covariates.
Z	Matrix of predictors for the one-inflation process, structured similarly to X.

Value

A numeric vector of expected values for each observation in the dataset.

See Also

dEdq_nb for computing partial derivatives of expected values in the OIZTNB model.

oneinfl documentation built on April 4, 2025, 12:05 a.m.