.parse_active_effects

Evaluate terms in a <code>duremstats</code> formula into effect config lists

internal

Computes a variety of statistics for relational event models (Meijerink et al., 2022, <doi:10.3758/s13428-022-01821-8>). Relational event models enable researchers to investigate exogenous and endogenous factors, and interactions, influencing the evolution of a time-ordered sequence of events. These models are categorized into tie-oriented models (Butts, C., 2008, <doi:10.1111/j.1467-9531.2008.00203.x>), where the probability of a dyad interacting next is modeled in a single step, and actor-oriented models (Stadtfeld, C., & Block, P., 2017, <doi:10.15195/v4.a14>), which first model the probability of a sender initiating an interaction and subsequently the probability of the sender's choice of receiver. The package is designed to compute a variety of statistics that summarize exogenous and endogenous influences on the event stream for both types of models.

Joris Mulder

remstats

Computes Statistics for Relational Event History Data

Giuseppe Arena

Marlyne Meijerink-Bosman

Diana Karimova

Rumana Lakdawala

Mahdi Shafiee Kamalabad

Fabio Generoso Vieira

Roger Leenders

.parse_active_effects function

<dl><dt>formula</dt>
<dd>Formula such as
<code>~ activeTie() + activeOutdegreeSender(scaling = "std")</code></dd></dl>

Arguments

Evaluate terms in a duremstats formula into effect config lists — .parse_active_effects

<dl>

<dt>formula</dt>
<dd>Formula such as
<code>~ activeTie() + activeOutdegreeSender(scaling = "std")</code></dd>

</dl>

Evaluate terms in a <code>duremstats</code> formula into effect config lists

.parse_active_effects: Evaluate terms in a `duremstats` formula into effect config lists

Description

Usage

Value

Arguments