Package: SCtools 0.3.3

Bruno Castanho Silva

SCtools: Extensions for Synthetic Controls Analysis

Extends the functionality of the package 'Synth' as detailed in Abadie, Diamond, and Hainmueller (2011) <doi:10.18637/jss.v042.i13>. Includes generating and plotting placebos, post/pre-MSPE (Mean Squared Prediction Error) significance tests and plots, and calculating average treatment effects for multiple treated units.

Authors:Bruno Castanho Silva [aut, cre], Michael DeWitt [aut]

SCtools_0.3.3.tar.gz
SCtools_0.3.3.zip(r-4.7)SCtools_0.3.3.zip(r-4.6)SCtools_0.3.3.zip(r-4.5)
SCtools_0.3.3.tgz(r-4.6-any)SCtools_0.3.3.tgz(r-4.5-any)
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SCtools_0.3.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
SCtools/json (API)

# Install 'SCtools' in R:

install.packages('SCtools', repos = c('https://bcastanho.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/bcastanho/sctools/issues

Datasets:

alcohol - World Alcohol per Capita Consumption
synth.data - Synth Data Synthetic data that can be used to explore SCtools.

On CRAN:

6.64 score 13 stars 168 scripts 641 downloads 1 mentions 13 exports 47 dependencies

Last updated from:64cdd39a6f. Checks:7 NOTE, 2 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	NOTE	156
source / vignettes	OK	156
linux-release-x86_64	NOTE	142
macos-release-arm64	NOTE	167
macos-oldrel-arm64	NOTE	147
windows-devel	NOTE	103
windows-release	NOTE	85
windows-oldrel	NOTE	101
wasm-release	OK	122

Exports:generate_placebos generate.placebos is_tdf is_tdf_multi mspe_plot mspe_test mspe.plot mspe.test multiple_synth multiple.synth plac_dist plac.dist plot_placebos

Dependencies:cli codetools cpp11 cvTools DEoptimR digest dplyr farver furrr future generics ggplot2 globals glue gtable isoband kernlab labeling lattice lifecycle listenv magrittr nloptr numDeriv optimx parallelly pillar pkgconfig pracma purrr R6 RColorBrewer rgenoud rlang robustbase S7 scales stringi stringr Synth tibble tidyr tidyselect utf8 vctrs viridisLite withr

SCM Case Study on Alcohol Consumption

Introduction | Implementing Synthetic Controls | Experimental Design | The Next Steps | Conclusion

Rendered fromcase-study.Rmdusingknitr::rmarkdown

Last update: 2024-04-26
Started: 2019-10-03

Replicating the Basque Study

Introduction | Extending the Analysis

Rendered fromreplicating-basque.Rmdusingknitr::rmarkdown

Last update: 2019-10-29
Started: 2019-10-02

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
SCTools: Tools for Synthetic Control Methods	SCtools-package SCtools
World Alcohol per Capita Consumption	alcohol
Function to generate placebo synthetic controls	generate.placebos generate_placebos
Test if the object is a tdf object	is_tdf
Test if the object is a tdf_multi object	is_tdf_multi
Plot the post/pre-treatment MSPE ratio	mspe.plot mspe_plot
Function to compute the post/pre treatment MSPE ratio for the treated unit and placebos	mspe.test mspe_test
Function to Apply Synthetic Controls to Multiple Treated Units	multiple.synth multiple_synth
Plot the distribution of placebo samples for synthetic control analysis with multiple treated units.	plac.dist plac_dist
Function to plot placebos of a synthetic control analysis	plot_placebos
Synth Data Synthetic data that can be used to explore SCtools.	synth.data