init_rc {rcbayes}

Set initial values for Rogers-Castro migration model

Description

Choose initial values for parameters in the Rogers-Castro model in a strategic way based on your data. Provide these initial values to improve convergence of model. Intended to be used with rcbayes::mig_estimate_rc as an additional input into 'Stan'.

Usage

init_rc(
  ages,
  migrants,
  pop,
  mx,
  pre_working_age,
  working_age,
  retirement,
  post_retirement,
  nchains = 4,
  net_mig
)

Arguments

ages

numeric. A vector of integers for ages.

migrants

numeric. A vector of integers for observed age-specific migrants.

pop

numeric. A vector of integers for age-specific population or sample sizes, of which "migrants" experienced a migration event.

mx

numeric. A vector of age-specific migration rates.

pre_working_age

logical (TRUE/FALSE). Whether or not you are including pre working age component.

working_age

logical (TRUE/FALSE). Whether or not you are including working age component.

retirement

logical (TRUE/FALSE). Whether or not you are including retirement age component.

post_retirement

logical (TRUE/FALSE). Whether or not you are including post retirement age component.

nchains

numeric. A positive integer specifying the number of Markov chains. Should be 4 unless changed otherwise.

net_mig

numeric. Deprecated argument, use migrants instead.

Value

A list of length nchains. Each element of the list is a list of numeric values. Within the inner lists, there is one element for every model parameter.

Examples

# Ex. 1: Using ages, migrants, and population
ages <- 0:80
migrants <- c(202,215,167,188,206,189,164,
            158,197,185,176,173,167,198,
            203,237,249,274,319,345,487,
            491,521,505,529,527,521,529,
            507,484,467,439,399,399,380,
            368,310,324,289,292,270,269,
            285,254,245,265,257,258,263,
            253,346,293,332,346,349,355,
            386,346,344,352,331,320,307,
            320,310,258,254,243,256,263,
            183,169,172,160,166,113,132,
            111,130,110,113)
pop <- c(105505,105505,105505,105505,105505,
        106126,106126,106126,106126,106126,
        100104,100104,100104,100104,100104,
        114880,114880,114880,114880,114880,
        136845,136845,136845,136845,136845,
        136582,136582,136582,136582,136582,
        141935,141935,141935,141935,141935,
        134097,134097,134097,134097,134097,
        130769,130769,130769,130769,130769,
        133718,133718,133718,133718,133718,
        154178,154178,154178,154178,154178,
        145386,145386,145386,145386,145386,
        126270,126270,126270,126270,126270,
        108314,108314,108314,108314,108314,
        79827,79827,79827,79827,79827,59556,
        59556,59556,59556,59556,59556)

#compute initial values
iv <- init_rc(ages=ages, migrants=migrants, pop=pop,
             pre_working_age=TRUE,
             working_age=TRUE,
             retirement=TRUE,
             post_retirement=TRUE)

# Ex 2: Using ages and mx
ages <- 0:80
mx <- c(0.001914601, 0.002037818, 0.001582863, 0.001781906,
        0.001952514, 0.001780902, 0.001545333, 0.001488796,
        0.001856284, 0.001743211, 0.001758172, 0.001728203,
        0.001668265, 0.001977943, 0.002027891, 0.002063022,
        0.002167479, 0.002385097, 0.002776811, 0.003003134,
        0.003558771, 0.003588001, 0.003807227, 0.003690307,
        0.003865687, 0.003858488, 0.003814558, 0.003873131,
        0.003712056, 0.003543659, 0.003290238, 0.003092965,
        0.002811146, 0.002811146, 0.002677282, 0.002744282,
        0.002311759, 0.002416161, 0.002155156, 0.002177528,
        0.002064710, 0.002057062, 0.002179416, 0.001942356,
        0.001873533, 0.001981783, 0.001921955, 0.001929434,
        0.001966826, 0.001892041, 0.002244159, 0.001900401,
        0.002153355, 0.002244159, 0.002263617, 0.002441776,
        0.002655001, 0.002379872, 0.002366115, 0.002421141,
        0.002621367, 0.002534252, 0.002431298, 0.002534252,
        0.002455057, 0.002381964, 0.002345034, 0.002243477,
        0.002363499, 0.002428126, 0.002292457, 0.002117078,
        0.002154659, 0.002004334, 0.002079497, 0.001897374,
        0.002216401, 0.001863792, 0.002182820, 0.001847001,
        0.001897374)

# compute initial values
iv <- init_rc(ages=ages, mx=mx,
             pre_working_age=TRUE,
             working_age=TRUE,
             retirement=TRUE,
             post_retirement=TRUE)