print.diffusion

Outputs the result of a fitted diffusion curve.

Various diffusion models to forecast new product growth. Currently
the package contains Bass, Gompertz, Gamma/Shifted Gompertz and Weibull curves. See
Meade and Islam (2006) <doi:10.1016/j.ijforecast.2006.01.005>.

Oliver Schaer

diffusion

Forecast the Diffusion of New Products

Nikolaos Kourentzes

Ivan Svetunkov

print.diffusion function

<dl><dt>x</dt>
<dd><code>diffusion</code> object, produced using <code>diffusion</code>.</dd>
<dt>...</dt>
<dd>Unused argument.</dd></dl>

Arguments

Oliver Schaer, <a href="/link/info%40oliverschaer.ch?package=diffusion&version=0.4.0" data-mini-rdoc="diffusion::info@oliverschaer.ch">info@oliverschaer.ch</a>,
Nikolaos Kourentzes, <a href="/link/nikolaos%40kourentzes.com?package=diffusion&version=0.4.0" data-mini-rdoc="diffusion::nikolaos@kourentzes.com">nikolaos@kourentzes.com</a>

Author

Print a fitted diffusion curve. — print.diffusion

<dl>

<dt>x</dt>
<dd><code>diffusion</code> object, produced using <code>diffusion</code>.</dd>


<dt>...</dt>
<dd>Unused argument.</dd>

</dl>

Oliver Schaer, <a href='mailto:info@oliverschaer.ch'>info@oliverschaer.ch</a>,
Nikolaos Kourentzes, <a href='mailto:nikolaos@kourentzes.com'>nikolaos@kourentzes.com</a>

print.diffusion: Print a fitted diffusion curve.

Description

Usage

Value

Arguments

Author

See Also

Examples