View source: R/showInteraction.R
showInteraction | R Documentation |
Retrieves details of a specified interaction from mgm model objects.
showInteraction(object, int)
object |
The output of one of the estimation functions |
int |
An integer vector specifying the interaction. For mVAR models, this vector has length 2. For MGMs the vector can be larger to request details of interaction of order > 2. |
Currently the function only returns details of pairwise interactions from output objects of mgm()
.
variables |
Integer vector returning the variables specified via the argument |
type |
Character vector returning the type of the specified variables variables |
level |
Integer vector returning the number of levels of the specified variables variables |
parameters |
A list of length equal to the order k of the specified interaction. The entries contain the set of parameters obtained from the nodewise regressions on the k variables. Depending on the type of the variables in the interaction, these sets can obtain one or several parameters. For details see |
Jonas Haslbeck <jonashaslbeck@gmail.com>
Haslbeck, J. M. B., & Waldorp, L. J. (2020). mgm: Estimating time-varying Mixed Graphical Models in high-dimensional Data. Journal of Statistical Software, 93(8), pp. 1-46. DOI: 10.18637/jss.v093.i08
mgm
, tvmgm
, mvar
, tvmvar
## Not run:
## We fit a pairwise and 3-order MGM to the mixed Autism dataset (?autism_data)
# 1) Fit Pairwise MGM
# Call mgm()
fit_d2 <- mgm(data = autism_data$data,
type = autism_data$type,
level = autism_data$lev,
k = 2) # ad most pairwise interacitons
# Weighted adjacency matrix
fit_d2$pairwise$wadj # for instance, we see there is an interaction 1-2
# 2) Look at details of interaction 1-2
showInteraction(object = fit_d2,
int = c(1, 2))
# For more examples see https://github.com/jmbh/mgmDocumentation
## End(Not run)
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