modeledf

Retrieve the degrees of freedom specified in the model.

GAMM (Generalized Additive Mixed Modeling; Lin & Zhang, 1999)
as implemented in the R package 'mgcv' (Wood, S.N., 2006; 2011) is a nonlinear
regression analysis which is particularly useful for time course data such as
EEG, pupil dilation, gaze data (eye tracking), and articulography recordings,
but also for behavioral data such as reaction times and response data. As time
course measures are sensitive to autocorrelation problems, GAMMs implements
methods to reduce the autocorrelation problems. This package includes functions
for the evaluation of GAMM models (e.g., model comparisons, determining regions
of significance, inspection of autocorrelational structure in residuals)
and interpreting of GAMMs (e.g., visualization of complex interactions, and
contrasts).

Jacolien van Rij

itsadug

Interpreting Time Series and Autocorrelated Data Using GAMMs

Martijn Wieling

R. Harald Baayen

Hedderik van Rijn

modeledf function

<dl><dt>model</dt>
<dd>A fitted regression model (using gam, or bam).</dd></dl>

Arguments

Retrieve the degrees of freedom specified in the model. — modeledf

<dl>

<dt>model</dt>
<dd>A fitted regression model (using gam, or bam).</dd>

</dl>

modeledf: Retrieve the degrees of freedom specified in the model.

Description

Usage

Value

Arguments

See Also