create_J_matrix

<code>create_J_matrix</code> generates a d x dp matrix J, where the first d x d block is the identity matrix I_d,
and the rest is filled with zeros.

internal

Penalized and non-penalized maximum likelihood estimation of smooth
transition vector autoregressive models with various types of transition weight
functions, conditional distributions, and identification methods. Constrained
estimation with various types of constraints is available. Residual based
model diagnostics, forecasting, simulations, and calculation of impulse
response functions, generalized impulse response functions, and generalized
forecast error variance decompositions. See
Heather Anderson, Farshid Vahid (1998) <doi:10.1016/S0304-4076(97)00076-6>,
Helmut Lütkepohl, Aleksei Netšunajev (2017) <doi:10.1016/j.jedc.2017.09.001>,
Markku Lanne, Savi Virolainen (2025) <doi:10.48550/arXiv.2403.14216>,
Savi Virolainen (2025) <doi:10.48550/arXiv.2404.19707>.

Savi Virolainen

sstvars

Toolkit for Reduced Form and Structural Smooth Transition Vector
Autoregressive Models

create_J_matrix function

<dl><dt>d</dt>
<dd>An integer representing the dimension of the identity matrix.</dd>
<dt>p</dt>
<dd>An integer representing the factor by which to extend the matrix with zeros.</dd></dl>

Arguments

Create a special matrix J — create_J_matrix

<dl>

<dt>d</dt>
<dd>An integer representing the dimension of the identity matrix.</dd>


<dt>p</dt>
<dd>An integer representing the factor by which to extend the matrix with zeros.</dd>

</dl>

create_J_matrix: Create a special matrix J

Description

Usage

Value

Arguments