Package: microsynth 2.0.51

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]

microsynth_2.0.51.tar.gz
microsynth_2.0.51.zip(r-4.7-any)microsynth_2.0.51.zip(r-4.6-any)microsynth_2.0.51.zip(r-4.5-any)
microsynth_2.0.51.tgz(r-4.6-any)microsynth_2.0.51.tgz(r-4.5-any)
microsynth_2.0.51.tar.gz(r-4.7-any)microsynth_2.0.51.tar.gz(r-4.6-any)
microsynth_2.0.51.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
microsynth/json (API)

# Install 'microsynth' in R:
install.packages('microsynth', repos = c('https://michaelwrobbins.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • seattledmi - Data for a crime intervention in Seattle, Washington

On CRAN:

Conda:

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

4.07 score 2 stars 39 scripts 374 downloads 2 exports 13 dependencies

Last updated from:2606ddede5. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK155
source / vignettesOK188
linux-releaseOK123
macos-releaseOK164
macos-oldrelOK235
windows-develOK87
windows-releaseOK69
windows-oldrelOK89
wasm-releaseOK107

Exports:microsynthplot_microsynth

Dependencies:DBIkernlablatticeLowRankQPMatrixminqamitoolsnumDerivpracmaRcppRcppArmadillosurveysurvival

Ensuring Model Feasibility
Causes of model infeasibility | Responses to an infeasible model | Specification of matching variables | Parameters for calculating weights | Calling on (computationally-intensive) back-up models
Rendered fromensuring_model_feasibility.Rmdusingknitr::rmarkdown

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

MicroSynth: A Tutorial
Introduction to Synthetic Controls | An example: Using microsynth to evaluate a Drug Market Intervention | Setting ID columns | Setting time parameters | Setting outcome variables and covariates and related parameters | An aside: advanced methods for setting matching variables | Other parameters that may be set | Basic estimation and plotting | Example 1: Barebones results | Example 2: Adding permutations and jackknife | Example 3: Model feasibility while matching on more variables | Example 4: Provide match.out as a list (time-aggregating matching variables) | Partial calls to microsynth | Example 5: Weights only | Example 6: Results only | Example 7: Plots only | Alternative applications for microsynth | Example 8: Apply microsynth in the traditional setting of Synth | Example 9: Cross-sectional data for propensity score-type weights | References
Rendered fromintroduction.Rmdusingknitr::rmarkdown

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

Aggregating Matching Variables Over Time
Declaring outcome variables as a vector or list | Interactions with other arguments
Rendered fromaggregating_variables_over_time.Rmdusingknitr::rmarkdown

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