Package: ablasso 1.0
ablasso: Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models
Implements the Arellano-Bond estimation method combined with LASSO for dynamic linear panel models. See Chernozhukov et al. (2024) "Arellano-Bond LASSO Estimator for Dynamic Linear Panel Models". arXiv preprint <doi:10.48550/arXiv.2402.00584>.
Authors:
ablasso_1.0.tar.gz
ablasso_1.0.zip(r-4.5)ablasso_1.0.zip(r-4.4)ablasso_1.0.zip(r-4.3)
ablasso_1.0.tgz(r-4.4-any)ablasso_1.0.tgz(r-4.3-any)
ablasso_1.0.tar.gz(r-4.5-noble)ablasso_1.0.tar.gz(r-4.4-noble)
ablasso_1.0.tgz(r-4.4-emscripten)ablasso_1.0.tgz(r-4.3-emscripten)
ablasso.pdf |ablasso.html✨
ablasso/json (API)
# Install 'ablasso' in R: |
install.packages('ablasso', repos = c('https://junyuchen-econ.r-universe.dev', 'https://cloud.r-project.org')) |
- covid_data - COVID-19 Spread and School Policy Effects Data
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 7 months agofrom:626752f118. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 20 2024 |
R-4.5-win | OK | Nov 20 2024 |
R-4.5-linux | OK | Nov 20 2024 |
R-4.4-win | OK | Nov 20 2024 |
R-4.4-mac | OK | Nov 20 2024 |
R-4.3-win | OK | Nov 20 2024 |
R-4.3-mac | OK | Nov 20 2024 |
Exports:ablasso_mv_ssablasso_uvablasso_uv_ssgenerate_data
Dependencies:backportscheckmateclicodetoolscolorspacefansifarverforeachFormulaggplot2glmnetgluegtablehdmisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmatrixStatsmgcvmunsellmvtnormnlmepillarpkgconfigR6RColorBrewerRcppRcppEigenrlangscalesshapesurvivaltibbleutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
Help page | Topics |
---|---|
AB-LASSO Estimator with Random Sample Splitting for Multivariate Models | ablasso_mv_ss |
AB-LASSO Estimator Without Sample Splitting | ablasso_uv |
AB-LASSO Estimator with Random Sample Splitting | ablasso_uv_ss |
COVID-19 Spread and School Policy Effects Data | covid_data |
Generate a Dataset for Simulations | generate_data |