build_design: Build Design Matrices for Bivariate Hurdle Model

In bivarhr: Bivariate Hurdle Regression with Bayesian Model Averaging

Build Design Matrices for Bivariate Hurdle Model

Description

Constructs design matrices for the zero and count components of both outcome variables with cross-lags, trends, regimes, transition dummies, and control variables.

Usage

build_design(
  DT,
  k,
  include_C_to_I = TRUE,
  include_I_to_C = TRUE,
  include_trend = TRUE,
  controls = character(0),
  include_regimes = TRUE,
  include_transitions = TRUE
)

Arguments

DT	A data.table with required columns.
k	Integer; lag order.
include_C_to_I	Logical; include C lags in I equations.
include_I_to_C	Logical; include I lags in C equations.
include_trend	Logical; include polynomial time trend.
controls	Character vector of control variable names.
include_regimes	Logical; include regime dummies.
include_transitions	Logical; include transition dummies.

Value

A list containing design matrices and outcome vectors.

bivarhr documentation built on July 7, 2026, 1:06 a.m.