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dynverse
dynutils:Common Functionality for the 'dynverse' Packages
Provides common functionality for the 'dynverse' packages. 'dynverse' is created to support the development, execution, and benchmarking of trajectory inference methods. For more information, check out <https://dynverse.org>.
Maintained by Robrecht Cannoodt. Last updated 2 years ago.
3 stars 6.89 score 109 scripts 8 dependentsjakesherman
easypackages:Easy Loading and Installing of Packages
Easily load and install multiple packages from different sources, including CRAN and GitHub. The libraries function allows you to load or attach multiple packages in the same function call. The packages function will load one or more packages, and install any packages that are not installed on your system (after prompting you). Also included is a from_import function that allows you to import specific functions from a package into the global environment.
Maintained by Jake Sherman. Last updated 7 years ago.
11 stars 6.52 score 490 scriptsgmbecker
switchr:Installing, Managing, and Switching Between Distinct Sets of Installed Packages
Provides an abstraction for managing, installing, and switching between sets of installed R packages. This allows users to maintain multiple package libraries simultaneously, e.g. to maintain strict, package-version-specific reproducibility of many analyses, or work within a development/production release paradigm. Introduces a generalized package installation process which supports multiple repository and non-repository sources and tracks package provenance.
Maintained by Gabriel Becker. Last updated 2 years ago.
59 stars 6.49 score 52 scriptsluciorq
condathis:Run Any CLI Tool on a 'Conda' Environment
Simplifies the execution of command line interface (CLI) tools within isolated and reproducible environments. It enables users to effortlessly manage 'Conda' environments, execute command line tools, handle dependencies, and ensure reproducibility in their data analysis workflows.
Maintained by Lucio Queiroz. Last updated 18 days ago.
bioinformaticscondareproducibilityreproducible-research
10 stars 5.00 score 1 scripts