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R6P: Design Patterns in R
Build robust and maintainable software with object-oriented
design patterns in R. Design patterns abstract and present in neat,
well-defined components and interfaces the experience of many software
designers and architects over many years of solving similar problems.
These are solutions that have withstood the test of time with respect
to re-usability, flexibility, and maintainability. 'R6P' provides
abstract base classes with examples for a few known design patterns.
The patterns were selected by their applicability to analytic projects
in R. Using these patterns in R projects have proven effective in
dealing with the complexity that data-driven applications possess.
| Version: |
0.3.0 |
| Depends: |
R (≥ 3.5) |
| Imports: |
collections, dplyr, purrr, R6, stringr, tibble, tidyr |
| Suggests: |
DBI, ggplot2, RSQLite, testthat (≥ 3.0.0) |
| Published: |
2022-10-02 |
| Author: |
Harel Lustiger 
[aut, cre],
Tidylab [cph, fnd] |
| Maintainer: |
Harel Lustiger <tidylab at gmail.com> |
| BugReports: |
https://github.com/tidylab/R6P/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://tidylab.github.io/R6P/, https://github.com/tidylab/R6P |
| NeedsCompilation: |
no |
| Language: |
en-GB |
| Citation: |
R6P citation info |
| Materials: |
README NEWS |
| CRAN checks: |
R6P results |
Documentation:
Downloads:
Reverse dependencies:
Linking:
Please use the canonical form
https://CRAN.R-project.org/package=R6P
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.
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