Package: acsmoe 0.1.0

Dmitry Shkolnik

acsmoe: Propagate Uncertainty for ACS Tabular Estimates

Utilities for propagating uncertainty in American Community Survey tabular workflows that use published estimates and margins of error, following U.S. Census Bureau derived-estimate guidance and complementing 'tidycensus' margin-of-error workflows. Includes covariance-aware derived estimates, simulation helpers, geographic aggregation, confidence-interval conversion, and reliability diagnostics.

Authors:Dmitry Shkolnik [aut, cre]

acsmoe_0.1.0.tar.gz
acsmoe_0.1.0.tar.gz(r-4.7-any)acsmoe_0.1.0.tar.gz(r-4.6-any)
acsmoe_0.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
acsmoe/json (API)
NEWS

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

Bug tracker:https://github.com/dshkol/acsmoe/issues

Pkgdown/docs site:https://dshkol.github.io

On CRAN:

Conda:

2.70 score 14 exports 0 dependencies

Last updated from:f7e2a09d9e. Checks:4 OK. Indexed: no.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK119
source / vignettesOK147
linux-release-x86_64OK284
wasm-releaseOK273

Exports:acs_aggregateacs_cvacs_diffacs_linearacs_productacs_propacs_ratioacs_reliabilityacs_simulateacs_simulate_fnacs_summoe_cimoe_to_sese_to_moe

Dependencies:

Using acsmoe with tidycensus

Rendered fromtidycensus-workflow.Rmdusingknitr::rmarkdownon May 29 2026.

Last update: 2026-05-29
Started: 2026-05-29