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 |