plot.fars

Generates a line plot of the estimated quantiles from a <code>fars</code> object.
If <code>newdata</code> is <code>NULL</code>, the function plots in-sample fitted quantiles; otherwise,
it plots predictions computed on <code>newdata</code>. The x-axis can be indexed by a provided
<code>dates</code> vector; if missing, an integer index is used.

Provides a comprehensive framework in R for modeling and forecasting economic scenarios based on multi-level dynamic factor model. The package enables users to: (i) extract global and group-specific factors using a flexible multi-level factor structure; (ii) compute asymptotically valid confidence regions for the estimated factors, accounting for uncertainty in the factor loadings; (iii) obtain estimates of the parameters of the factor-augmented quantile regressions together with their standard deviations; (iv) recover full predictive conditional densities from estimated quantiles; (v) obtain risk measures based on extreme quantiles of the conditional densities; (vi) estimate the conditional density and the corresponding extreme quantiles when the factors are stressed.

Gian Pietro Bellocca

FARS

Factor-Augmented Regression Scenarios

Ignacio Garrón

Vladimir Rodríguez-Caballero

Esther Ruiz

plot.fars function

<dl><dt>x</dt>
<dd>An object of class <code>fars</code>.</dd>
<dt>newdata</dt>
<dd>Optional matrix or data frame with one column for the lagged dependent variable
and <code>r</code> columns for the factors (same <code>r</code> used in <code>compute_fars()</code>).</dd>
<dt>dates</dt>
<dd>Optional vector of dates (as <code>Date</code> or <code><a href="/link/zoo%3A%3Ayearqtr?package=FARS&version=0.7.1" data-mini-rdoc="FARS::zoo::yearqtr">zoo::yearqtr</a></code>) to use for the x-axis.
If not provided, a simple index is used.</dd>
<dt>...</dt>
<dd>Additional arguments (ignored).</dd></dl>

Arguments

Plot Method for fars Object — plot.fars

<dl>

<dt>x</dt>
<dd>An object of class <code>fars</code>.</dd>


<dt>newdata</dt>
<dd>Optional matrix or data frame with one column for the lagged dependent variable
and <code>r</code> columns for the factors (same <code>r</code> used in <code>compute_fars()</code>).</dd>


<dt>dates</dt>
<dd>Optional vector of dates (as <code>Date</code> or <code><a href='https://rdrr.io/pkg/zoo/man/yearqtr.html'>zoo::yearqtr</a></code>) to use for the x-axis.
If not provided, a simple index is used.</dd>


<dt>...</dt>
<dd>Additional arguments (ignored).</dd>

</dl>

plot.fars: Plot Method for `fars` Object

Description

Usage

Value

Arguments