check_null_data

<code>check_null_data</code> checks that the gsmvar object has data.

internal

Unconstrained and constrained maximum likelihood estimation of structural and reduced form
Gaussian mixture vector autoregressive, Student's t mixture vector autoregressive, and Gaussian and Student's t
mixture vector autoregressive models, quantile residual tests, graphical diagnostics,
simulations, forecasting, and estimation of generalized impulse response function and generalized
forecast error variance decomposition.
Leena Kalliovirta, Mika Meitz, Pentti Saikkonen (2016) <doi:10.1016/j.jeconom.2016.02.012>,
Savi Virolainen (2025) <doi:10.1080/07350015.2024.2322090>,
Savi Virolainen (2022) <doi:10.48550/arXiv.2109.13648>.

Savi Virolainen

gmvarkit

Estimate Gaussian and Student's t Mixture Vector Autoregressive
Models

check_null_data function

<dl><dt>gsmvar</dt>
<dd>an object of class <code>'gsmvar'</code>, typically created with <code>fitGSMVAR</code> or <code>GSMVAR</code>.</dd></dl>

Arguments

Checks whether the given object contains data — check_null_data

<dl>

<dt>gsmvar</dt>
<dd>an object of class <code>'gsmvar'</code>, typically created with <code>fitGSMVAR</code> or <code>GSMVAR</code>.</dd>

</dl>

check_null_data: Checks whether the given object contains data

Description

Usage

Value

Arguments