Package: bate 0.1.0
bate: Computes Bias-Adjusted Treatment Effect
Compute bounds for the treatment effect after adjusting for the presence of omitted variables in linear econometric models, according to the method of Basu (2022) <arxiv:2203.12431>. You supply the data, identify the outcome and treatment variables and additional regressors. The main functions will compute bounds for the bias-adjusted treatment effect. Many plot functions allow easy visualization of results.
Authors:
bate_0.1.0.tar.gz
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bate.pdf |bate.html✨
bate/json (API)
# Install 'bate' in R: |
install.packages('bate', repos = c('https://dbasu-umass.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/dbasu-umass/bate/issues
Last updated 1 years agofrom:46798901e6. Checks:OK: 7. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Oct 25 2024 |
R-4.5-win | OK | Oct 25 2024 |
R-4.5-linux | OK | Oct 25 2024 |
R-4.4-win | OK | Oct 25 2024 |
R-4.4-mac | OK | Oct 25 2024 |
R-4.3-win | OK | Oct 25 2024 |
R-4.3-mac | OK | Oct 25 2024 |
Exports:cinhazcollect_parcplotbiasdelfplotdplotbateexpand_borderget_bordermycubicmydiscosterbdsosterdelstarovbiasovbias_lmovbias_parpartocoefselectrootsplit_nurrurrplot
Dependencies:classclassIntclicolorspaceconcavemancurlDBIdplyre1071fansifarvergenericsggplot2gluegtableisobandjsonliteKernSmoothlabelinglatex2explatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigproxypurrrR6RColorBrewerRcpprlangs2scalessensemakrsfstringistringrtibbletidyselectunitsutf8V8vctrsviridisLitewithrwk