microsynth: Synthetic Control Methods with Micro- And Meso-Level Data

A generalization of the 'Synth' package that is designed for data at a more granular level (e.g., micro-level). Provides functions to construct weights (including propensity score-type weights) and run analyses for synthetic control methods with micro- and meso-level data; see Robbins, Saunders, and Kilmer (2017) <doi:10.1080/01621459.2016.1213634> and Robbins and Davenport (2021) <doi:10.18637/jss.v097.i02>.

Version: 2.0.44
Depends: R (≥ 2.10)
Imports: kernlab, methods, parallel, pracma, stats, survey, utils
Suggests: knitr, LowRankQP, MASS, rmarkdown, xlsx
Published: 2023-06-30
DOI: 10.32614/CRAN.package.microsynth
Author: Michael Robbins [aut, cre], Steven Davenport [aut]
Maintainer: Michael Robbins <mrobbins at rand.org>
License: GPL-3
NeedsCompilation: no
Additional_repositories: https://ssdavenport.github.io/drat
Citation: microsynth citation info
Materials: README NEWS
In views: CausalInference
CRAN checks: microsynth results


Reference manual: microsynth.pdf
Vignettes: Aggregating Matching Variables Over Time
Ensuring Model Feasibility
MicroSynth: A Tutorial


Package source: microsynth_2.0.44.tar.gz
Windows binaries: r-devel: microsynth_2.0.44.zip, r-release: microsynth_2.0.44.zip, r-oldrel: microsynth_2.0.44.zip
macOS binaries: r-release (arm64): microsynth_2.0.44.tgz, r-oldrel (arm64): microsynth_2.0.44.tgz, r-release (x86_64): microsynth_2.0.44.tgz, r-oldrel (x86_64): microsynth_2.0.44.tgz
Old sources: microsynth archive


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