fixedEffects

randomEffects

These functions return a table of the fixed and random effects.
FUNCTIONS ARE DEPRECATED AND WILL BE REMOVED SOON.

mlVAR-effects

Estimates the multi-level vector autoregression model on time-series data.
Three network structures are obtained: temporal networks, contemporaneous
networks and between-subjects networks.

Sacha Epskamp

mlVAR

Multi-Level Vector Autoregression

Marie K. Deserno

Laura F. Bringmann

Myrthe Veenman

mlVAR-effects function

<dl> <dt>object</dt>
<dd>A <code>mlVAR</code> object</dd> <dt>digits</dt>
<dd>Number of digits to output</dd></dl>

Arguments

Sacha Epskamp (mail@sachaepskamp.com), Marie K. Deserno (m.k.deserno@uva.nl) and Laura F. Bringmann (laura.bringmann@ppw.kuleuven.be)

Author

Fixed and random effects — mlVAR-effects

<dl>

 <dt>object</dt>
<dd>A <code>mlVAR</code> object</dd>

 <dt>digits</dt>
<dd>Number of digits to output</dd>

</dl>

mlVAR-effects: Fixed and random effects

Description

Usage

Arguments

Author