simPop: Simulation of Synthetic Populations for Survey Data Considering Auxiliary Information

Tools and methods to simulate populations for surveys based on auxiliary data. The tools include model-based methods, calibration and combinatorial optimization algorithms. The package was developed with support of the International Household Survey Network, DFID Trust Fund TF011722 and funds from the World bank.

Version: 1.2.0
Depends: R (≥ 3.0.0), lattice, vcd, data.table
Imports: laeken, plyr, MASS, Rcpp (≥ 0.11.0), RcppArmadillo, e1071, parallel, nnet, doParallel, foreach, colorspace, VIM, methods, party, EnvStats, fitdistrplus, ranger, wrswoR
LinkingTo: Rcpp, RcppArmadillo
Suggests: haven, microbenchmark, stringr, testthat, surveysd
Published: 2019-07-18
Author: Matthias Templ [aut, cre], Alexander Kowarik ORCID iD [aut], Bernhard Meindl [aut], Andreas Alfons [aut], Mathieu Ribatet [ctb], Johannes Gussenbauer [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

Downloads:

Reference manual: simPop.pdf
Package source: simPop_1.2.0.tar.gz
Windows binaries: r-devel: simPop_1.2.0.zip, r-release: simPop_1.2.0.zip, r-oldrel: simPop_1.2.0.zip
macOS binaries: r-release: simPop_1.2.0.tgz, r-oldrel: simPop_1.2.0.tgz
Old sources: simPop archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=simPop to link to this page.