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>.

Version: 2.0.13
Depends: R (≥ 3.3.0)
Imports: boot, survey, MASS, stats, utils, kernlab, LowRankQP, nleqslv, pracma, parallel
Suggests: knitr, xlsx, rmarkdown
Published: 2019-04-10
Author: Michael Robbins [aut, cre], Steven Davenport [aut]
Maintainer: Michael Robbins <mrobbins at rand.org>
License: GPL-3
URL: https://github.com/ssdavenport/microsynth
NeedsCompilation: no
Materials: README NEWS
CRAN checks: microsynth results


Reference manual: microsynth.pdf
Vignettes: Aggregating Matching Variables Over Time
Ensuring Model Feasibility
MicroSynth: A Tutorial
Package source: microsynth_2.0.13.tar.gz
Windows binaries: r-devel: microsynth_2.0.13.zip, r-release: microsynth_2.0.13.zip, r-oldrel: microsynth_2.0.13.zip
OS X binaries: r-release: microsynth_2.0.13.tgz, r-oldrel: microsynth_1.0.9.tgz
Old sources: microsynth archive


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