Package: pampe 1.1.2
pampe: Implementation of the Panel Data Approach Method for Program Evaluation
Implements the Panel Data Approach Method for program evaluation as developed in Hsiao, Ching and Ki Wan (2012). pampe estimates the effect of an intervention by comparing the evolution of the outcome for a unit affected by an intervention or treatment to the evolution of the unit had it not been affected by the intervention.
Authors:
pampe_1.1.2.tar.gz
pampe_1.1.2.zip(r-4.5)pampe_1.1.2.zip(r-4.4)pampe_1.1.2.zip(r-4.3)
pampe_1.1.2.tgz(r-4.4-any)pampe_1.1.2.tgz(r-4.3-any)
pampe_1.1.2.tar.gz(r-4.5-noble)pampe_1.1.2.tar.gz(r-4.4-noble)
pampe_1.1.2.tgz(r-4.4-emscripten)pampe_1.1.2.tgz(r-4.3-emscripten)
pampe.pdf |pampe.html✨
pampe/json (API)
# Install 'pampe' in R: |
install.packages('pampe', repos = c('https://ainhoavega.r-universe.dev', 'https://cloud.r-project.org')) |
- growth - Example Data for pampe function from the pampe package
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 9 years agofrom:a814b7d02f. Checks:OK: 1 NOTE: 6. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 10 2024 |
R-4.5-win | NOTE | Nov 10 2024 |
R-4.5-linux | NOTE | Nov 10 2024 |
R-4.4-win | NOTE | Nov 10 2024 |
R-4.4-mac | NOTE | Nov 10 2024 |
R-4.3-win | NOTE | Nov 10 2024 |
R-4.3-mac | NOTE | Nov 10 2024 |
Exports:pampepampeDataplot.pampeplot.robustnessprint.summary.pamperegsubsets2aicrobustnesssummary.pampextable.pampextable.robustness
Dependencies:leaps
Readme and manuals
Help Manual
Help page | Topics |
---|---|
Example Data for pampe function from the pampe package | growth |
Implementation of the Panel Data Approach for Program Evaluation | pampe plot.pampe print.summary.pampe summary.pampe xtable.pampe |
Implementation of the Panel Data Approach for Program Evaluation | pampe-internal regsubsets2aic |
Data Setup for the Implementation of the Panel Data Approach for Program Evaluation | pampeData |
Robustness check for the Implementation of the Panel Data Approach for Program Evaluation | plot.robustness robustness xtable.robustness |