Construct a mixing model from GoC/RDS data

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.

Usage

estimate.mixing(survey.data, parent.data, traits)

Arguments

survey.data

The respondent info

parent.data

The parent info

traits

The names of the traits to build the model on

Value

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.