Package: simPop
Type: Package
Title: Simulation of Synthetic Populations for Survey Data Considering
        Auxiliary Information
Version: 0.6.0
Date: 2017-01-23
Author: Bernhard Meindl, Matthias Templ, Andreas Alfons, Alexander Kowarik, and
    with contributions from Mathieu Ribatet
Maintainer: Matthias Templ <matthias.templ@gmail.com>
Depends: R(>= 3.0.0), lattice, vcd, data.table
Imports: laeken, plyr, MASS, Rcpp (>= 0.11.0), e1071, parallel, nnet,
        doParallel, foreach, colorspace, VIM,
        methods,party,EnvStats,fitdistrplus,ranger
Suggests: haven, microbenchmark, stringr
LinkingTo: Rcpp
Description: 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.
License: GPL (>= 2)
LazyLoad: yes
Collate: '0classes.R' 'addKnownMargins.R' 'addWeights.r' 'calibPop.R'
        'calibSample.R' 'calibVars.R' 'contingencyWt.R' 'correctHeap.R'
        'fitGPD.R' 'getBreaks.R' 'getCat.R' 'ipu.r' 'ipu2.r' 'meanWt.R'
        'printFunctions.R' 'quantileWt.R' 'sampHH.R' 'silcTools.R'
        'silcTools2.R' 'simCategorical.R' 'simComponents.R'
        'simContinuous.R' 'simEUSILC.R' 'simGPD.R' 'simInitSpatial.R'
        'simple_dis.R' 'simPop-package-package.R' 'simRelation.R'
        'simStructure.R' 'spBwplot.R' 'spBwplotStats.R' 'spCdf.R'
        'spCdfplot.R' 'spMosaic.R' 'spPredict.R' 'spSample.R'
        'spTable.R' 'specifyInput.R' 'sprague.R' 'tableWt.R'
        'utility.R' 'utils.R' 'whipple.R' 'dataSets.R' 'zzz.R'
RoxygenNote: 5.0.1
NeedsCompilation: yes
Packaged: 2017-01-23 09:13:13 UTC; KOWA$
Repository: CRAN
Date/Publication: 2017-01-23 13:50:11
Built: R 3.2.5; x86_64-w64-mingw32; 2017-04-20 08:46:18 UTC; windows
Archs: i386, x64
