Package: pensynth 0.6.0
pensynth: Penalized Synthetic Control Estimation
Estimate penalized synthetic control models and perform hold-out validation to determine their penalty parameter. This method is based on the work by Abadie & L'Hour (2021) <doi:10.1080/01621459.2021.1971535>. Penalized synthetic controls smoothly interpolate between one-to-one matching and the synthetic control method.
Authors:
pensynth_0.6.0.tar.gz
pensynth_0.6.0.zip(r-4.5)pensynth_0.6.0.zip(r-4.4)pensynth_0.6.0.zip(r-4.3)
pensynth_0.6.0.tgz(r-4.4-any)pensynth_0.6.0.tgz(r-4.3-any)
pensynth_0.6.0.tar.gz(r-4.5-noble)pensynth_0.6.0.tar.gz(r-4.4-noble)
pensynth_0.6.0.tgz(r-4.4-emscripten)pensynth_0.6.0.tgz(r-4.3-emscripten)
pensynth.pdf |pensynth.html✨
pensynth/json (API)
| # Install 'pensynth' in R: |
| install.packages('pensynth', repos = c('https://vankesteren.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/vankesteren/pensynth/issues
Last updated 4 months agofrom:331af2b3ac. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 30 2024 |
| R-4.5-win | OK | Oct 30 2024 |
| R-4.5-linux | OK | Oct 30 2024 |
| R-4.4-win | NOTE | Oct 30 2024 |
| R-4.4-mac | NOTE | Oct 30 2024 |
| R-4.3-win | NOTE | Oct 30 2024 |
| R-4.3-mac | NOTE | Oct 30 2024 |
Exports:cv_pensynthin_convex_hullpensynthplacebo_testsimulate_data
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Hold-out validated penalized synthetic control estimator | cv_pensynth |
| Check whether treated unit is in the convex hull of donors | in_convex_hull |
| Penalized synthetic control estimator | pensynth |
| Placebo permutation test for pensynth | placebo_test placebo_test.cvpensynth placebo_test.pensynth |
| Plotting for hold-out validated penalized synthetic control objects | plot.cvpensynth |
| Plotting a pensynth permutation object | plot.pensynthtest |
| Create prediction from cvpensynth model | predict.cvpensynth |
| Create prediction from pensynth model | predict.pensynth |
| Print cvpensynth model | print.cvpensynth |
| Print pensynth model | print.pensynth |
| Simulate synthetic control data | simulate_data |
