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)
the respondent info
the parent info
the names of the traits to build the model on
a list with two entries:
mixing.df the data used to estimate the mixing
choose.next.state.fn a function which can be passed
a vector of states and will return a draw of a subsequent state
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
trans.fn a function which,
when called, randomly chooses a next state with probabilities given
by the transition probs.
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