[statnet_help] Question about adding moderating effect in REM

[SJ C]

Dear Carter,

I appreciate your detailed response!

Based on my understanding of your explanation, I can create an interaction
term by multiplying two matrices (e.g., one matrix of RRecSnd retrieved
from accum.rrl and the other matrix which is transformed from node
attributes) and enter the interaction term as a CovEvent in the rem.dyad.
Am I correct?

Assuming that I am correct, I entered the interaction term and the
attribute-transformed matrix as if they are the covariates of CovEvent in
rem.dyad as follows:
covar = list(CovEvent = cbind(attribute-transformed matrix, interaction
matrix))

However, this code did not work.
If I separate this code into two as follows, the rem.dyad gives me a result
of only one variable.
covar = list(CovEvent = attribute-transformed matrix, CovEvent =
interaction matrix)

Since we have to enter lower-order terms of the interaction term, I need to
enter these two terms as CovEvent.
Can you please let me know how to handle this?

Thank you for your time paying attention to this!

Sincerely,
Choi

2023년 10월 18일 (수) 오전 11:06, Carter T. Butts <buttsc at uci.edu>님이 작성:


> Hi, Choi -

>

> To be clear, I presume that by "moderation" you mean an interaction effect

> (i.e., a product term between e.g. the RRecSnd statistic and another

> statistic).  This can be done, but currently it is DIY: what you have to do

> is compute the statistics you want, and enter them as dynamic edge (aka

> event) covariates.  (It is a basic property of these models that any and

> all effects can be implemented as (dynamic) edge covariates, which is a

> handy thing to keep in mind if you want to implement your own statistics.)

>

> There is an internal function accum.rrl that may be handy for this

> purpose; it is part of the black magic of the package (and thus not very

> documented), but can be used.  If you call accum.rrl with an eventlist, it

> will return a list with two elements.  The first is a list, with one entry

> per event in the data, whose ith entry is an ordered list of the most

> recent senders for every node that has received an event (*going into*

> the ith event).  The second is the corresponding list for most recent

> receivers for every node that has sent an event (again, the ith entry is

> the state headed into the ith event).  Nodes that have never sent/received

> by a given event do not have entries.  This function is used "backstage" to

> help compute the hazards for RRecSnd and RSndSnd, so can be helpful for you

> if you want to make your own term.  But of course, it is just a tool for

> tabulation, and you can write your own if you prefer.

>

> Hope that helps!

>

> -Carter

> On 10/17/23 4:45 PM, SJ C wrote:

>

> Hi all,

>

> I am using REM(relevant event model) for the first time in my research

> project, and also this is my first time sending questions to statnet_help.

>

> My question is about entering a moderating effect in REM.

> I consulted REM tutorials uploaded in Statnet website and other workshop

> materials, but was not able to find relevant information.

>

> For instance, how can we test whether the RRecSnd effect is moderated by a

> particular attribute (e.g., education level) of the original sender in REM?

>

> It would be greatly appreciated if I can have any responses.

> Thank you!

>

> Sincerely,

> Choi

>

>

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