ABMToCova               Creates the four data frames of weighted
                        contact pairs for use in Covasim
AdultsNoID              Non-partnered synthetic people
AllEmployers            Employers and employees, by industry
BadRels                 Synthetic people restricted to an age range
EmployerSet             Synthetic employers and their employee counts
GroupInfo               The proportion of people in a relationship, by
                        age band within sex
InitialDataframe        People in age groups, in the Timaru District
IntoSchools             Four person households, with a school status
                        for each person
LeftSchool              School leavers
NetworkMatrix           The number of contacts for 5000 person
Ppl4networks            Synthetic people living in the Timaru District
RegionalStructure       Sex/Age pyramid for teenagers in the Canterbury
                        Region
SchoolsToUse            Schools and their roll counts
SingleAges              Sex/Age pyramid data for Timaru District
Township                Simulated township
WorkingAdolescents      Adolescents with a school status and employment
                        hours
addemp                  Add employers to people in employment
addind                  Add a variable indicating whether the person is
                        in education, or has left education
addnetwork              Create a social network for people in a
                        population
addschool               Match school children to schools
agedis                  Add a sex/age structure to a data frame of
                        grouped ages
createemp               Create employers, each with employee counts
diffsample              Sample from groups, when the sample size for
                        each group is different
fastmatch               Create couples using a weighted age group
                        structure
fixhours                Reallocates working hours between people in
                        education and people not in education
fixrelations            Provide an age structure to relationship
                        status, estimated from age groups
interdiff               Interpolate ages from age group medians
other                   Match people into new households
otherNum                Match people into existing households
pairbeta4               Pair two people, using a four-parameter beta
                        distribution, into households
pairbeta4Num            Pair two people, using a four-parameter beta
                        distribution, households already exist
pairmult                Create many-to-one pairs of people and place
                        them into households
pairmultNum             Create many-to-one pairs, when there are
                        existing households
pairnorm                Pair two people, using either a normal or
                        skew-normal distribution, into households
pairnormNum             Pair two people, using either a normal or
                        skew-normal distribution, households already
                        exist
