The working paper is available here.

Install jointCalib package

install.packages("remotes")
remotes::install_github("ncn-foreigners/jointCalib")
remotes::install_github("ncn-foreigners/nonprobsvy") ## for IPW with calibration constraints

Then, restart R and load the package

library(jointCalib)
library(nonprobsvy)

1. Main simulation from the paper based on Chen, Y., Li, P., and Wu, C. (2020). Doubly robust inference with nonprobability survey samples. Journal of the American Statistical Association, 115(532):2011–2021
2. Tutorial for the jointCalib package
3. A minimal example of joint calibration in R, Python and stata

• codes/ – code for simulation
• figs/ – figures that correspondst to table in the paper
• notebooks/ – notebooks with processing results
• paper/ – folder with the paper
• results/ – files with tables based on simulation

Work on this paper is supported by the the National Science Center, OPUS 22 grant no. 2020/39/B/HS4/00941.