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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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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.