Delta Method implementation to estimate standard errors with known asymptotic properties within the 'tidyverse' workflow. The Delta Method is a statistical tool that approximates an estimator’s behaviour using a Taylor Expansion. For a comprehensive explanation, please refer to Chapter 3 of van der Vaart (1998, ISBN: 9780511802256).
| Version: | 0.1.0 |
| Imports: | dplyr, numDeriv, purrr, rlang, tibble, cli |
| Suggests: | testthat (≥ 3.0.0), tidyverse |
| Published: | 2024-07-18 |
| DOI: | 10.32614/CRAN.package.tidydelta |
| Author: | Javier Martinez-Rodriguez [aut, cre, cph] |
| Maintainer: | Javier Martinez-Rodriguez <javier.matz.rdz at gmail.com> |
| BugReports: | https://github.com/JavierMtzRdz/tidydelta/issues |
| License: | MIT + file LICENSE |
| URL: | https://github.com/JavierMtzRdz/tidydelta |
| NeedsCompilation: | no |
| Materials: | README NEWS |
| CRAN checks: | tidydelta results |
| Reference manual: | tidydelta.pdf |
| Package source: | tidydelta_0.1.0.tar.gz |
| Windows binaries: | r-devel: tidydelta_0.1.0.zip, r-release: tidydelta_0.1.0.zip, r-oldrel: tidydelta_0.1.0.zip |
| macOS binaries: | r-release (arm64): tidydelta_0.1.0.tgz, r-oldrel (arm64): tidydelta_0.1.0.tgz, r-release (x86_64): tidydelta_0.1.0.tgz, r-oldrel (x86_64): tidydelta_0.1.0.tgz |
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