makeXZy: Prepare Design Matrices and Response Vector

In oneinfl: Estimates OIPP and OIZTNB Regression Models

Prepare Design Matrices and Response Vector

Description

Processes a model formula and a data frame to generate design matrices (X and Z) and a response vector (y) for regression models, including support for complex formulas with | operators.

Usage

makeXZy(formula, df)

Arguments

formula	A symbolic description of the model, where the left-hand side specifies the response variable and the right-hand side specifies predictors. Formulas can include a | operator to separate predictors for different components of a model.
df	A data frame containing the variables specified in the formula.

Details

This function processes the formula to extract and construct:

• X: The main design matrix.

• Z: A secondary design matrix (if a | operator is used in the formula, separating components).

• y: The response variable.

It handles cases where the formula specifies:

• Only the main component (e.g., y ~ x1 + x2).

• A secondary component using the | operator (e.g., y ~ x1 + x2 | z1 + z2).

Value

A list containing the following components:

X

A design matrix for the main predictors.

Z

A design matrix for additional predictors (e.g., for a secondary process in a two-component model).

y

The response vector extracted from the formula.

See Also

model.matrix, model.frame, model.response

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