Package: inca 0.1.0

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
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inca_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html
DESCRIPTION
card.svg |card.png
inca/json (API)

# Install 'inca' in R:
install.packages('inca', repos = c('https://drwolf85.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 638 downloads 3 exports 4 dependencies

Last updated from:9a93a60ec5. Checks:13 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK132
linux-devel-x86_64OK127
source / vignettesOK167
linux-release-arm64OK125
linux-release-x86_64OK129
macos-release-arm64OK101
macos-release-x86_64OK262
macos-oldrel-arm64OK143
macos-oldrel-x86_64OK281
windows-develOK139
windows-releaseOK124
windows-oldrelOK155
wasm-releaseOK104

Exports:adjWeightsintcalibrateroundWeights

Dependencies:latticeMatrixRcppRcppArmadillo