reexports

xtable

forecast

accuracy

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>generics</dt>
<dd><code>accuracy</code>, <code>forecast</code></dd>
 <dt>xtable</dt>
<dd><code><a href="/link/xtable?package=greybox&version=2.0.2" data-mini-rdoc="greybox::xtable">xtable</a></code></dd>
</dl>

internal

Implements functions and instruments for regression model building and its
application to forecasting. The main scope of the package is in variables selection
and models specification for cases of time series data. This includes promotional
modelling, selection between different dynamic regressions with non-standard
distributions of errors, selection based on cross validation, solutions to the fat
regression model problem and more. Models developed in the package are tailored
specifically for forecasting purposes. So as a results there are several methods
that allow producing forecasts from these models and visualising them.

Ivan Svetunkov

greybox

Toolbox for Model Building and Forecasting

Yves R. Sagaert

reexports function

These objects are imported from other packages. Follow the links
below to see their documentation.
<dl>
 <dt>generics</dt>
<dd><code>accuracy</code>, <code>forecast</code></dd>


 <dt>xtable</dt>
<dd><code><a href='https://rdrr.io/pkg/xtable/man/xtable.html'>xtable</a></code></dd>


</dl>

Objects exported from other packages — reexports

Objects exported from other packages

reexports: Objects exported from other packages

Description

Arguments