distplyr: Manipulate and Combine Probability Distributions
Go beyond standard probability distributions such as the Normal
or Exponential by combining, shifting, maximizing, and otherwise
transforming distributions with simple, verb-based functions. Provides
easy access to a broader space of distributions more representative of
real-world systems such as river flows or insurance claims.
Part of the probaverse framework of packages to support advanced
statistical modeling and simulations with an intuitive workflow.
| Version: |
0.2.0 |
| Depends: |
R (≥ 3.5.0) |
| Imports: |
ellipsis, rlang, vctrs, stats, checkmate, distionary |
| Suggests: |
covr, knitr, rmarkdown, testthat (≥ 3.0.0), tibble |
| Published: |
2025-12-08 |
| DOI: |
10.32614/CRAN.package.distplyr (may not be active yet) |
| Author: |
Vincenzo Coia [aut, cre, cph],
Amogh Joshi [ctb],
Shuyi Tan [ctb],
Zhipeng Zhu [ctb] |
| Maintainer: |
Vincenzo Coia <vincenzo.coia at gmail.com> |
| License: |
MIT + file LICENSE |
| URL: |
https://distplyr.probaverse.com/,
https://github.com/probaverse/distplyr |
| NeedsCompilation: |
no |
| Materials: |
README, NEWS |
| CRAN checks: |
distplyr results |
Documentation:
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