Package: tidysynth 0.2.0
Eric Dunford
tidysynth: A Tidy Implementation of the Synthetic Control Method
A synthetic control offers a way of evaluating the effect of an intervention in comparative case studies. The package makes a number of improvements when implementing the method in R. These improvements allow users to inspect, visualize, and tune the synthetic control more easily. A key benefit of a tidy implementation is that the entire preparation process for building the synthetic control can be accomplished in a single pipe.
Authors:
tidysynth_0.2.0.tar.gz
tidysynth_0.2.0.tar.gz(r-4.5-noble)tidysynth_0.2.0.tar.gz(r-4.4-noble)
tidysynth_0.2.0.tgz(r-4.4-emscripten)tidysynth_0.2.0.tgz(r-4.3-emscripten)
tidysynth.pdf |tidysynth.html✨
tidysynth/json (API)
NEWS
| # Install 'tidysynth' in R: |
| install.packages('tidysynth', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
- smoking - Smoking dataset
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 1 years agofrom:b6e990ee54. Checks:OK: 2. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Aug 19 2024 |
| R-4.5-linux | OK | Aug 19 2024 |
Exports:%>%generate_controlgenerate_predictorgenerate_weightsgrab_balance_tablegrab_lossgrab_outcomegrab_predictor_weightsgrab_predictorsgrab_significancegrab_synthetic_controlgrab_unit_weightsplot_differencesplot_mspe_ratioplot_placebosplot_trendsplot_weightssynthetic_control
Dependencies:clicolorspacecpp11dplyrfansifarverforcatsgenericsggplot2gluegtableisobandkernlablabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmenloptrnumDerivoptimxpillarpkgconfigpracmapurrrR6RColorBrewerrgenoudrlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| generate_control | generate_control |
| generate_predictor | generate_predictor |
| generate_weights | generate_weights |
| grab_balance_table | grab_balance_table |
| grab_loss | grab_loss |
| grab_outcome | grab_outcome |
| grab_predictor_weights | grab_predictor_weights |
| grab_predictors | grab_predictors |
| grab_significance | grab_significance |
| grab_synthetic_control | grab_synthetic_control |
| grab_unit_weights | grab_unit_weights |
| plot_difference | plot_differences |
| plot_mspe_ratio | plot_mspe_ratio |
| plot_placebos | plot_placebos |
| plot_trends | plot_trends |
| plot_weights | plot_weights |
| smoking dataset | smoking |
| synth_method | synth_method |
| synth_weights | synth_weights |
| synthetic_control | synthetic_control |