sem_C_matrix: Matrix with alpha, beta, phi_0 and phi_1 parameters for SEM...

In badp: Bayesian Averaging for Dynamic Panels

Matrix with alpha, beta, phi_0 and phi_1 parameters for SEM representation

Description

Matrix which describes linear dependencies between the dependent variable and the initial values of the dependent variable and the regressors within the SEM representation.

Usage

sem_C_matrix(alpha, phi_0, n_periods, beta = NULL, phi_1 = NULL)

Arguments

alpha	numeric
phi_0	numeric
n_periods	integer
beta	numeric vector. Default is NULL for no regressors case.
phi_1	numeric vector. Default is NULL for no regressors case.

Value

Matrix with linear dependencies for initial conditions

Examples

alpha <- 9
phi_0 <- 19
beta <- 11:15
phi_1 <- 21:25
n_periods <- 4
sem_C_matrix(alpha, phi_0, n_periods, beta, phi_1)

badp documentation built on Aug. 20, 2026, 9:08 a.m.