Package: microsynth 2.0.44

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>.

Authors:Michael Robbins [aut, cre], Steven Davenport [aut]

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NEWS

# Install 'microsynth' in R:
install.packages('microsynth', repos = c('https://michaelwrobbins.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

Datasets:
  • seattledmi - Data for a crime intervention in Seattle, Washington

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

3.64 score 1 stars 29 scripts 304 downloads 2 exports 12 dependencies

Last updated 1 years agofrom:e28182a7f5. Checks:OK: 7. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 21 2024
R-4.5-winOKNov 21 2024
R-4.5-linuxOKNov 21 2024
R-4.4-winOKNov 21 2024
R-4.4-macOKNov 21 2024
R-4.3-winOKNov 21 2024
R-4.3-macOKNov 21 2024

Exports:microsynthplot_microsynth

Dependencies:DBIkernlablatticeMatrixminqamitoolsnumDerivpracmaRcppRcppArmadillosurveysurvival

Aggregating Matching Variables Over Time

Rendered fromaggregating_variables_over_time.Rmdusingknitr::rmarkdownon Nov 21 2024.

Last update: 2018-05-16
Started: 2018-05-16

Ensuring Model Feasibility

Rendered fromensuring_model_feasibility.Rmdusingknitr::rmarkdownon Nov 21 2024.

Last update: 2021-02-26
Started: 2018-05-16

MicroSynth: A Tutorial

Rendered fromintroduction.Rmdusingknitr::rmarkdownon Nov 21 2024.

Last update: 2019-04-10
Started: 2018-05-16