The hardware and bandwidth for this mirror is donated by dogado GmbH, the Webhosting and Full Service-Cloud Provider. Check out our Wordpress Tutorial.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]dogado.de.
Nonparametric data-driven approach to discovering heterogeneous subgroups in a selection-on-observables framework. 'aggTrees' allows researchers to assess whether there exists relevant heterogeneity in treatment effects by generating a sequence of optimal groupings, one for each level of granularity. For each grouping, we obtain point estimation and inference about the group average treatment effects. Please reference the use as Di Francesco (2022) <doi:10.2139/ssrn.4304256>.
| Version: | 2.1.0 |
| Depends: | R (≥ 2.10) |
| Imports: | boot, broom, car, caret, estimatr, grf, rpart, rpart.plot, stats, stringr |
| Suggests: | knitr, rmarkdown |
| Published: | 2024-09-09 |
| DOI: | 10.32614/CRAN.package.aggTrees |
| Author: | Riccardo Di Francesco [aut, cre, cph] |
| Maintainer: | Riccardo Di Francesco <difrancesco.riccardo96 at gmail.com> |
| BugReports: | https://github.com/riccardo-df/aggTrees/issues |
| License: | MIT + file LICENSE |
| URL: | https://riccardo-df.github.io/aggTrees/ |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | aggTrees results |
| Reference manual: | aggTrees.pdf |
| Vignettes: |
Short Tutorial (source, R code) Inference (source, R code) |
| Package source: | aggTrees_2.1.0.tar.gz |
| Windows binaries: | r-devel: aggTrees_2.1.0.zip, r-release: aggTrees_2.1.0.zip, r-oldrel: aggTrees_2.1.0.zip |
| macOS binaries: | r-release (arm64): aggTrees_2.1.0.tgz, r-oldrel (arm64): aggTrees_2.1.0.tgz, r-release (x86_64): aggTrees_2.1.0.tgz, r-oldrel (x86_64): aggTrees_2.1.0.tgz |
| Old sources: | aggTrees archive |
Please use the canonical form https://CRAN.R-project.org/package=aggTrees to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.