Bayesian integrated Modelling of (European) Migration via Stan
This is an R package that estimates international migration flows by using data from sending and receiving countries. It uses Stan (via the rstan package) for the back-end estimation. The primary target audience is students and researchers who would like to better understand migration data and learn about producing synthetic migration estimates.
Installation
devtools::install_github("a-wis/MigMod",build=F)
library(tidyverse)
library(MigMod)How to use
The package contains one key function migmod_m that takes as arguments a data frame with all needed variables, sending and receiving countries for which bilateral migration will be estimated and years for which the estimation is required. The data have been put into a data set mig_data. Dots ... denote other arguments that are passed to stan sampling function, such as the number of iterations, CPU cores to be used, etc.
modfit <- migmod_m(df = mig_data,
sending = c("SE", "FI", "IT", "PL"),
receiving = c("SE", "FI", "IT", "PL"),
years = 2010:2019,
ref.country = "SE")The results can be plotted by using a plot_migmod function that converts the stanfit into posterior summaries, binds with data and then plots by using ggplot functions.
plot_migmod(df = mig_data,
mmfit = modfit,
sending = c("SE", "FI", "IT", "PL"),
receiving = c("SE", "FI", "IT", "PL"),
years = 2010:2019)