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.

openblascpp

2.20 score 2 stars 16 scripts 137 downloads 3 exports 4 dependencies

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

TargetResultLatest binary
Doc / VignettesOKJan 06 2025
R-4.5-win-x86_64NOTEJan 06 2025
R-4.5-linux-x86_64NOTEJan 06 2025
R-4.4-win-x86_64NOTEJan 06 2025
R-4.4-mac-x86_64NOTEJan 06 2025
R-4.4-mac-aarch64NOTEJan 06 2025
R-4.3-win-x86_64NOTEJan 06 2025
R-4.3-mac-x86_64NOTEJan 06 2025
R-4.3-mac-aarch64NOTEJan 06 2025

Exports:adjWeightsintcalibrateroundWeights

Dependencies:latticeMatrixRcppRcppArmadillo