Package: ArCo 0.3-1
ArCo: Artificial Counterfactual Package
Set of functions to analyse and estimate Artificial Counterfactual models from Carvalho, Masini and Medeiros (2016) <doi:10.2139/ssrn.2823687>.
Authors:
ArCo_0.3-1.tar.gz
ArCo_0.3-1.zip(r-4.5)ArCo_0.3-1.zip(r-4.4)ArCo_0.3-1.zip(r-4.3)
ArCo_0.3-1.tgz(r-4.4-any)ArCo_0.3-1.tgz(r-4.3-any)
ArCo_0.3-1.tar.gz(r-4.5-noble)ArCo_0.3-1.tar.gz(r-4.4-noble)
ArCo_0.3-1.tgz(r-4.4-emscripten)ArCo_0.3-1.tgz(r-4.3-emscripten)
ArCo.pdf |ArCo.html✨
ArCo/json (API)
# Install 'ArCo' in R: |
install.packages('ArCo', repos = c('https://gabrielrvsc.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/gabrielrvsc/arco/issues
Datasets:
- data.q1 - A generated dataset used in the examples
- data.q2 - A dataset used in the examples
- inflationNFP - Dataset used on the empirical example by Carvalho, Masini and Medeiros (2016).
Last updated 7 years agofrom:ef29929115. Checks:OK: 3 NOTE: 4. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 17 2024 |
R-4.5-win | NOTE | Nov 17 2024 |
R-4.5-linux | NOTE | Nov 17 2024 |
R-4.4-win | NOTE | Nov 17 2024 |
R-4.4-mac | NOTE | Nov 17 2024 |
R-4.3-win | OK | Nov 17 2024 |
R-4.3-mac | OK | Nov 17 2024 |
Exports:estimate_t0fitArCopanel_to_ArCo_list
Dependencies:bootcodetoolsforeachglmnetiteratorslatticeMatrixRcppRcppEigenshapesurvival