Package: proratar 0.1.0

Shunsuke Homma

proratar: Proportional Allocation with Sum Consistency

Provides robust functions for proportional allocation of numeric values. It guarantees sum consistency after rounding or integer truncation using one of two adjustment methods: the largest remainder method or max-value adjustment. Handles edge cases like NA weights and vector total values seamlessly.

Authors:Shunsuke Homma [aut, cre]

proratar_0.1.0.tar.gz
proratar_0.1.0.zip(r-4.7-any)proratar_0.1.0.zip(r-4.6-any)
proratar_0.1.0.tar.gz(r-4.7-any)proratar_0.1.0.tar.gz(r-4.6-any)
proratar_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
proratar/json (API)

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

On CRAN:

Conda:

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

1.00 score 223 downloads 2 exports 0 dependencies

Last updated from:24a6330696. Checks:6 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK140
source / vignettesOK174
linux-releaseOK91
windows-develOK64
windows-releaseOK55
wasm-releaseOK86

Exports:prorateprorate_int

Dependencies: