Package: bsynth 1.0

Ignacio Martinez

bsynth: Bayesian Synthetic Control

Implements the Bayesian Synthetic Control method for causal inference in comparative case studies. This package provides tools for estimating treatment effects in settings with a single treated unit and multiple control units, allowing for uncertainty quantification and flexible modeling of time-varying effects. The methodology is based on the paper by Vives and Martinez (2022) <doi:10.48550/arXiv.2206.01779>.

Authors:Ignacio Martinez [aut, cre], Jaume [aut]

bsynth_1.0.tar.gz
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bsynth_1.0.tgz(r-4.6-x86_64)bsynth_1.0.tgz(r-4.6-arm64)bsynth_1.0.tgz(r-4.5-x86_64)bsynth_1.0.tgz(r-4.5-arm64)
bsynth_1.0.tar.gz(r-4.7-arm64)bsynth_1.0.tar.gz(r-4.7-x86_64)bsynth_1.0.tar.gz(r-4.6-arm64)bsynth_1.0.tar.gz(r-4.6-x86_64)
manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
bsynth/json (API)

# Install 'bsynth' in R:

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

Bug tracker:https://github.com/google/bsynth/issues

Uses libs:

c++– GNU Standard C++ Library v3

On CRAN:

cpp

5.64 score 22 stars 4 scripts 177 downloads 4 exports 79 dependencies

Last updated from:18524d96a9. Checks:11 NOTE, 1 OK, 1 FAIL. Indexed: yes.

Target	Result	Time
linux-devel-arm64	NOTE	742
linux-devel-x86_64	NOTE	634
source / vignettes	OK	1233
linux-release-arm64	NOTE	721
linux-release-x86_64	NOTE	704
macos-release-arm64	NOTE	784
macos-release-x86_64	NOTE	1312
macos-oldrel-arm64	NOTE	977
macos-oldrel-x86_64	NOTE	1014
windows-devel	NOTE	1034
windows-release	NOTE	1160
windows-oldrel	NOTE	1142
wasm-release	FAIL	198

Exports:%>%bayesianFactor bayesianSynth time_tiles

Dependencies:abind backports base64enc BH bslib cachem callr checkmate cli cpp11 cubelyr desc digest distributional dplyr evaluate farver fastmap fontawesome fs generics ggplot2 ggridges glue gridExtra gtable highr htmltools htmlwidgets inline isoband jquerylib jsonlite knitr labeling lifecycle loo magrittr matrixStats memoise mime numDeriv otel pillar pkgbuild pkgconfig posterior processx ps purrr QuickJSR R6 rappdirs RColorBrewer Rcpp RcppEigen RcppParallel rlang rmarkdown rstan rstantools S7 sass scales StanHeaders stringi stringr tensorA tibble tidyr tidyselect tinytex utf8 vctrs viridisLite vizdraws withr xfun yaml

Multiple Treated

Background | Bayesian Synthetic Control with Covariates | Fit | Visualize the synthetic controls for each treated unit | Visualize the treatment effect

Rendered frommultiple_treated.Rmdusingknitr::rmarkdown

Last update: 2024-06-27
Started: 2021-08-16

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
The 'bsynth' package.	bsynth-package bsynth
Get Parameter Estimates in Long Format	.get_par_long
Returns Data Frame Ready for Plotting with Confidence Intervals	.get_plot_df
Prepare Data Frame for Plotting with Multiple Treated Units	.get_plot_df2
Get Synthetic Draws in Tidy Format for Single Treated Unit	.get_synth_draws
Get Synthetic Draws in Tidy Format for Single Treated Unit (Predictor Match Model)	.get_synth_draws_predictor_match
Get Synthetic Draws in Tidy Format for Multiple Treated Units (3D Array)	.get_synth_draws3d
Convert Data to Wide Format	.makeWide
Plot Treatment Effect Estimate	.plot_tau
Create a Bayesian Synthetic Control Object Using Panel Data	bayesianFactor
Create a Bayesian Synthetic Control Object Using Panel Data	bayesianSynth
Time Tiles Plot of Intervention Impact	time_tiles