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 |
| 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 |
| Reference manual: | inca.pdf |
| 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 |
Please use the canonical form https://CRAN.R-project.org/package=inca to link to this page.