This function takes a list of networks with missing dyads and returns a list of networks with missing dyads imputed according to a list of imputation directives.
impute.network.list(
nwl,
imputers = c(),
nwl.prepend = list(),
nwl.append = list()
)A list of networks with missing dyads imputed.
A list of network objects or a
network.list object.
A character vector giving one or more methods to impute missing dyads. Currenly implemented methods are as follows:
nextImpute the state of the same dyad in the next network in the list (or later, if that one is also missing). This imputation method is likely to lead to an underestimation of the tie-change rates. The last network in the list cannot be imputed this way.
previousImpute the state of the same dyad in the previous network in the list (or earlier, if that one is also missing). The first network in the list cannot be imputed this way.
majorityImpute the missing dyad with the value of the majority among the non-missing dyads in that time step's network. A network that has exactly the same number of ties as non-missing non-ties cannot be imputed this way.
0Assume missing dyads are all non-ties.
1Assume missing dyads are all ties.
If
length(imputers)>1 the specified imputation methods will
be applied in succession. For example,
imputers=c("next","previous","majority","0") would first
try to impute a missing dyad with the next time step's value. If
it, and all of the later values for that dyad are missing, it
will try to impute it with the previous time step's value. If it,
and all of the earlier values for that dyad are missing as well,
it will try to impute it with the value of the majority of
non-missing dyads for that time step. If there is an exact tie,
it will impute 0.
An optional list of networks to treat as
preceding those in nwl. They will not be imputed or
returned, but they can be useful for imputing dyads in the first
network in nwl, when using "previous" imputer.
An optional list of networks to treat as
following those in nwl. They will not be imputed or
returned, but they can be useful for imputing dyads in the last
network in nwl, when using "next" imputer.
network, is.na()