Repository for the paper "Inference for non-probability samples using the calibration approach for quantiles"
Here is the lastest version of the paper.
R packages
install.packages("nonprobsvy")
install.packages(c("jointCalib", "sampling", "laeken", "survey", "data.table", "ggplot2")) ## statistical
install.packages(c("data.table", "ggplot2", "xtable", "stringi")) ## processing
install.packages(c("doSNOW", "progress", "foreach")) ## paralell computing
Codes were developed under the following R version
> sessionInfo()
R version 4.3.2 (2023-10-31)
Platform: aarch64-apple-darwin20 (64-bit)
Running under: macOS Sonoma 14.3
Structure of the repo:
codes/
:sim-code-yang-2020.R
-- function with all estimators discussed in the papersim-code-run.R
-- script to run functionyang_sim()
and the main simulationsim-processing-results.qmd
-- notebook with codes processing results
figs
-- figures for the plotresults/
-- simulation results in theRDS
formatpaper/
-- pdf file with the paper and source files
Work on this paper was supported by the National Science Centre, OPUS 20 grant no. 2020/39/B/HS4/00941.