simPop

Simulation of Complex Synthetic Data Information

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) ) and Templ (2017) . The package was developed with support of the International Household Survey Network, DFID Trust Fund TF011722 and funds from the World bank.

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simPop

This is the development place for R-package simPop

Reference manual

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install.packages("simPop")

2.1.3 by Matthias Templ, 3 years ago

https://github.com/statistikat/simPop

Browse source code at https://github.com/cran/simPop

Authors: Matthias Templ [aut, cre] , Alexander Kowarik [aut] , Bernhard Meindl [aut] , Andreas Alfons [aut] , Mathieu Ribatet [ctb] , Johannes Gussenbauer [ctb] , Siro Fritzmann [ctb]

Documentation:   PDF Manual  

GPL (>= 2) license

Imports data.table, MASS, Rcpp, RcppArmadillo, e1071, parallel, nnet, doParallel, foreach, colorspace, VIM, methods, EnvStats, fitdistrplus, ranger, wrswoR, matrixStats, xgboost, partykit

Depends on lattice, vcd

Suggests haven, microbenchmark, stringr, tinytest, sampling, covr

Linking to Rcpp, RcppArmadillo

Suggested by heaping, riskutility.

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