The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
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[@]metanet.ch.
Causal and statistical inference on an arbitrary treatment effect curve requires care in both estimation and inference. This package, implements the Method of Direct Estimation and Inference as introduced in "Estimation and Inference on Nonlinear and Heterogeneous Effects" by Ratkovic and Tingley (2023) <doi:10.1086/723811>. The method takes an outcome, variable of theoretical interest (treatment), and set of variables and then returns a partial derivative (marginal effect) of the treatment variable at each point along with uncertainty intervals. The approach offers two advances. First, a split-sample approach is used as a guard against over-fitting. Second, the method uses a data-driven interval derived from conformal inference, rather than relying on a normality assumption on the error terms.
| Version: | 1.0 |
| Depends: | R (≥ 3.6.0) |
| Imports: | grDevices, MASS, ranger, Rcpp (≥ 1.0.6), splines2 |
| LinkingTo: | Rcpp, RcppArmadillo |
| Published: | 2023-05-04 |
| DOI: | 10.32614/CRAN.package.MDEI |
| Author: | Marc Ratkovic [aut, cre], Dustin Tingley [ctb], Nithin Kavi [aut] |
| Maintainer: | Marc Ratkovic <ratkovic at princeton.edu> |
| License: | GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: | yes |
| Materials: | NEWS |
| CRAN checks: | MDEI results |
| Reference manual: | MDEI.pdf |
| Package source: | MDEI_1.0.tar.gz |
| Windows binaries: | r-devel: MDEI_1.0.zip, r-release: MDEI_1.0.zip, r-oldrel: MDEI_1.0.zip |
| macOS binaries: | r-release (arm64): MDEI_1.0.tgz, r-oldrel (arm64): MDEI_1.0.tgz, r-release (x86_64): MDEI_1.0.tgz, r-oldrel (x86_64): MDEI_1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=MDEI 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.