imputers |
A character vector giving one or more methods to
impute missing dyads. Currenly implemented methods are as
follows:
next Impute 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.
previous Impute 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.
majority Impute 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.
0 Assume missing dyads are all non-ties.
1 Assume 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.
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