Given a dataset with the respondents and a dataset on the parents (in many cases the same individuals), and a set of relevant traits, estimate mixing parameters and return a markov model.
estimate.mixing(survey.data, parent.data, traits)A list with entries:
mixing.df the data used to estimate the mixing function
choose.next.state.fn a function which can be passed
a vector of states and will return a draw of a subsequent state
for each entry in the vector
mixing.df a dataframe (long-form) representation of
the transition counts used to estimate the transition probabilities
states a list with an entry for each state. within
each state's entry are
trans.probs a vector of estimated transition probabilities
trans.fn a function which, when called, randomly chooses a
next state with probabilities given by the transition probs.
The respondent info
The parent info
The names of the traits to build the model on