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.