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.
Solves estimating equations to obtain M-estimators together with empirical sandwich variance estimates, providing a general interface for both custom and built-in estimating equations. Built-in equations cover basic statistics, regression, causal inference, survival analysis, measurement error, and more. An 'R' port of the 'Python' library 'delicatessen' described in 'Zivich et al. (2022)' <doi:10.48550/arXiv.2203.11300>.
| Version: | 0.1.0 |
| Depends: | R (≥ 4.3) |
| Imports: | cli, generics, rlang (≥ 1.0.0), rootSolve, S7 (≥ 0.2.0), stats |
| Suggests: | causaldata, jsonlite, knitr, MASS, minpack.lm, nleqslv, nlme, quarto, readxl, rmarkdown, testthat (≥ 3.0.0), yaml |
| Published: | 2026-08-28 |
| DOI: | 10.32614/CRAN.package.deli (may not be active yet) |
| Author: | Malcolm Barrett |
| Maintainer: | Malcolm Barrett <malcolmbarrett at gmail.com> |
| BugReports: | https://github.com/r-causal/deli/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/r-causal/deli, https://r-causal.github.io/deli/ |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README |
| CRAN checks: | deli results |
| Reference manual: | deli.html , deli.pdf |
| Vignettes: |
Causal Inference (source, R code) Custom Estimating Equations (source, R code) Getting Started with deli (source, R code) Regression Models (source, R code) |
| Package source: | deli_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: not available, r-oldrel: deli_0.1.0.zip |
| macOS binaries: | r-release (arm64): deli_0.1.0.tgz, r-oldrel (arm64): deli_0.1.0.tgz, r-release (x86_64): deli_0.1.0.tgz, r-oldrel (x86_64): deli_0.1.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=deli 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.