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inca: Integer Calibration

Specific functions are provided for rounding real weights to integers and performing an integer programming algorithm for calibration problems. They are useful for census-weights adjustments, or for performing linear regression with integer parameters. This research was supported in part by the U.S. Department of Agriculture, National Agriculture Statistics Service. The findings and conclusions in this publication are those of the authors and should not be construed to represent any official USDA, or US Government determination or policy.

Version: 0.0.4
Depends: R (≥ 3.5.0), stats, Matrix
Imports: Rcpp (≥ 0.12.1)
LinkingTo: Rcpp, RcppArmadillo
Suggests: survey
Published: 2019-09-19
DOI: 10.32614/CRAN.package.inca
Author: Luca Sartore and Kelly Toppin
inca author details
Maintainer: Luca Sartore <drwolf85 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
SystemRequirements: C++11
Materials: README ChangeLog
In views: OfficialStatistics
CRAN checks: inca results

Documentation:

Reference manual: inca.pdf

Downloads:

Package source: inca_0.0.4.tar.gz
Windows binaries: r-devel: inca_0.0.4.zip, r-release: inca_0.0.4.zip, r-oldrel: inca_0.0.4.zip
macOS binaries: r-release (arm64): inca_0.0.4.tgz, r-oldrel (arm64): inca_0.0.4.tgz, r-release (x86_64): inca_0.0.4.tgz, r-oldrel (x86_64): inca_0.0.4.tgz
Old sources: inca archive

Linking:

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These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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