Package: inca 0.0.4

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.

Authors:Luca Sartore <[email protected]> and Kelly Toppin <[email protected]>

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inca.pdf |inca.html
inca/json (API)

# Install 'inca' in R:
install.packages('inca', repos = c('https://drwolf85.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.20 score 2 stars 16 scripts 176 downloads 3 exports 4 dependencies

Last updated 5 years agofrom:de9b485ec4. Checks:OK: 1 NOTE: 8. Indexed: yes.

TargetResultDate
Doc / VignettesOKOct 08 2024
R-4.5-win-x86_64NOTEOct 08 2024
R-4.5-linux-x86_64NOTEOct 08 2024
R-4.4-win-x86_64NOTEOct 08 2024
R-4.4-mac-x86_64NOTEOct 08 2024
R-4.4-mac-aarch64NOTEOct 08 2024
R-4.3-win-x86_64NOTEOct 08 2024
R-4.3-mac-x86_64NOTEOct 08 2024
R-4.3-mac-aarch64NOTEOct 08 2024

Exports:adjWeightsintcalibrateroundWeights

Dependencies:latticeMatrixRcppRcppArmadillo