Package: inca 0.1.0

Luca Sartore

inca: Integer Calibration

Specific functions are provided for rounding real weights to integers and performing an integer programming algorithm for calibration problems. These functions are useful for census-weights adjustments, survey calibration, or for performing linear regression with integer parameters <https://www.nass.usda.gov/Education_and_Outreach/Reports,_Presentations_and_Conferences/reports/New_Integer_Calibration_%20Procedure_2016.pdf>. 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 [aut], Luca Sartore [cre], Kelly Toppin [aut]

inca_0.1.0.tar.gz
inca_0.1.0.tar.gz(r-4.7-arm64)inca_0.1.0.tar.gz(r-4.7-x86_64)inca_0.1.0.tar.gz(r-4.6-arm64)inca_0.1.0.tar.gz(r-4.6-x86_64)
inca_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
card.svg |card.png
inca/json (API)

# Install 'inca' in R:
install.packages('inca', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org'))
Uses libs:
  • openblas– Optimized BLAS
  • c++– GNU Standard C++ Library v3

On CRAN:

Conda:

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

openblascpp

2.40 score 2 stars 25 scripts 657 downloads 3 exports 4 dependencies

Last updated from:9a93a60ec5. Checks:6 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-arm64OK138
linux-devel-x86_64OK131
source / vignettesOK156
linux-release-arm64OK123
linux-release-x86_64OK129
wasm-releaseOK103

Exports:adjWeightsintcalibrateroundWeights

Dependencies:latticeMatrixRcppRcppArmadillo