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.
Version: | 1.6.0 |
Depends: | R (≥ 3.5.0) |
Imports: | data.table (≥ 1.9.6), Rcpp, acs (≥ 2.1) |
LinkingTo: | Rcpp |
Suggests: | testthat, sp (≥ 1.2), knitr, rmarkdown, R.rsp |
Published: | 2020-05-29 |
Author: | Alex Whitworth [aut, cre] |
Maintainer: | Alex Whitworth <whitworth.alex at gmail.com> |
License: | MIT + file LICENSE |
NeedsCompilation: | yes |
Citation: | synthACS citation info |
Materials: | README |
CRAN checks: | synthACS results |
Reference manual: | synthACS.pdf |
Vignettes: |
synthACS: An Introduction |
Package source: | synthACS_1.6.0.tar.gz |
Windows binaries: | r-devel: synthACS_1.6.0.zip, r-release: synthACS_1.6.0.zip, r-oldrel: synthACS_1.6.0.zip |
macOS binaries: | r-release: synthACS_1.6.0.tgz, r-oldrel: synthACS_1.6.0.tgz |
Old sources: | synthACS archive |
Please use the canonical form https://CRAN.R-project.org/package=synthACS to link to this page.