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

Documentation:

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

Downloads:

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

Linking:

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