Tools and methods to simulate populations for surveys based on auxiliary data. The tools include model-based methods, calibration and combinatorial optimization algorithms, see Templ, Kowarik and Meindl (2017) <doi:10.18637/jss.v079.i10>) and Templ (2017) <doi:10.1007/978-3-319-50272-4>. The package was developed with support of the International Household Survey Network, DFID Trust Fund TF011722 and funds from the World bank.
Version: 2.1.3 Depends: R (≥ 3.0.0), lattice, vcd Imports: data.table, MASS, Rcpp (≥ 0.11.0), RcppArmadillo, e1071, parallel, nnet, doParallel, foreach, colorspace, VIM, methods, EnvStats, fitdistrplus, ranger, wrswoR, matrixStats, xgboost, partykit LinkingTo: Rcpp, RcppArmadillo Suggests: haven, microbenchmark, stringr, tinytest, sampling, covr Published: 2024-01-08 DOI: 10.32614/CRAN.package.simPop Author: Matthias Templ [aut, cre], Alexander Kowarik [aut], Bernhard Meindl [aut], Andreas Alfons [aut], Mathieu Ribatet [ctb], Johannes Gussenbauer [ctb], Siro Fritzmann [ctb] Maintainer: Matthias Templ <matthias.templ at gmail.com> License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] URL: https://github.com/statistikat/simPop NeedsCompilation: yes Citation: simPop citation info Materials: README NEWS In views: OfficialStatistics CRAN checks: simPop results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=simPop to link to this page.
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