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
DOI: 10.32614/CRAN.package.R6P
Author: Harel Lustiger ORCID iD [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


Reference manual: R6P.pdf


Package source: R6P_0.3.0.tar.gz
Windows binaries: r-devel: R6P_0.3.0.zip, r-release: R6P_0.3.0.zip, r-oldrel: R6P_0.3.0.zip
macOS binaries: r-release (arm64): R6P_0.3.0.tgz, r-oldrel (arm64): R6P_0.3.0.tgz, r-release (x86_64): R6P_0.3.0.tgz, r-oldrel (x86_64): R6P_0.3.0.tgz
Old sources: R6P archive

Reverse dependencies:

Reverse imports: BKTR, PTXQC, rmzqc


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