modeldf

Methods and tools for displaying and analysing
univariate time series forecasts including exponential smoothing
via state space models and automatic ARIMA modelling.

Rob Hyndman

forecast

Forecasting Functions for Time Series and Linear Models

George Athanasopoulos

Christoph Bergmeir

Gabriel Caceres

Leanne Chhay

Kirill Kuroptev

Mitchell O'Hara-Wild

Fotios Petropoulos

Slava Razbash

Earo Wang

Farah Yasmeen

Federico Garza

Daniele Girolimetto

Ross Ihaka

R Core Team 

Daniel Reid

David Shaub

Yuan Tang

Xiaoqian Wang

Zhenyu Zhou

modeldf function

<dl><dt>object</dt>
<dd>A time series model</dd>
<dt>...</dt>
<dd>Other arguments currently ignored</dd></dl>

Arguments

Compute model degrees of freedom — modeldf

<dl>

<dt>object</dt>
<dd>A time series model</dd>


<dt>...</dt>
<dd>Other arguments currently ignored</dd>

</dl>

Compute model degrees of freedom

modeldf: Compute model degrees of freedom

Description

Usage

Arguments