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synthACS: Synthetic Microdata and Spatial MicroSimulation Modeling for ACS Data

Provides access to curated American Community Survey (ACS) base tables via a wrapper to library(acs). Builds synthetic micro-datasets at any user-specified geographic level with ten default attributes; and, conducts spatial microsimulation modeling (SMSM) via simulated annealing. SMSM is conducted in parallel by default. Lastly, we provide functionality for data-extensibility of micro-datasets <doi:10.18637/jss.v104.i07>.

Version: 1.7.1
Depends: R (≥ 3.5.0)
Imports: data.table (≥ 1.9.6), Rcpp, acs (≥ 2.1), retry
LinkingTo: Rcpp
Suggests: testthat, sp (≥ 1.2), knitr, rmarkdown, R.rsp
Published: 2022-10-26
DOI: 10.32614/CRAN.package.synthACS
Author: Alex Whitworth [aut, cre]
Maintainer: Alex Whitworth <whitworth.alex at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: yes
Citation: synthACS citation info
In views: Spatial
CRAN checks: synthACS results

Documentation:

Reference manual: synthACS.pdf
Vignettes: split and combine_smsm
synthACS: An Introduction

Downloads:

Package source: synthACS_1.7.1.tar.gz
Windows binaries: r-devel: synthACS_1.7.1.zip, r-release: synthACS_1.7.1.zip, r-oldrel: synthACS_1.7.1.zip
macOS binaries: r-release (arm64): synthACS_1.7.1.tgz, r-oldrel (arm64): synthACS_1.7.1.tgz, r-release (x86_64): synthACS_1.7.1.tgz, r-oldrel (x86_64): synthACS_1.7.1.tgz
Old sources: synthACS archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=synthACS to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.