rixpress: Build Reproducible Analytical Pipelines with 'Nix'

Streamlines the creation of reproducible analytical pipelines using 'default.nix' expressions generated via the 'rix' package for reproducibility. Define derivations in 'R', 'Python' or 'Julia', chain them into a composition of pure functions and build the resulting pipeline using 'Nix' as the underlying end-to-end build tool. Functions to plot the pipeline as a directed acyclic graph are included, as well as functions to load and inspect intermediary results for interactive analysis. User experience heavily inspired by the 'targets' package.

README.md Core Rixpress Functions and Usage Effective Debugging Encoding, Decoding, and Cross-Language Data Transfer Importing Data Files Introductory Concepts Managing Cached Build Artifacts Organising Large Projects with Sub-Pipelines Polyglot Pipelines and Literate Programming Polyglot Pipelines with Julia and R Running Pipelines in CI Scope and Roadmap Setting Up a Pipeline from Scratch Using Chronicler for Error-Tolerant Pipelines Using {cmdstanr} with {rixpress}

Vignettes Man pages API and functions Files

Package details
Author	Bruno Rodrigues [aut, cre] (ORCID: <https://orcid.org/0000-0002-3211-3689>), William Michael Landau [rev] (William reviewed the package (v. 0.2.0) for rOpenSci, see <https://github.com/ropensci/software-review/issues/706>), Anthony Martinez [rev] (ORCID: <https://orcid.org/0000-0002-4295-0261>, Anthony reviewed the package (v. 0.2.0) for rOpenSci, see <https://github.com/ropensci/software-review/issues/625>)
Maintainer	Bruno Rodrigues <bruno@brodrigues.co>
License	GPL (>= 3)
Version	0.12.2
URL	https://github.com/ropensci/rixpress/ https://docs.ropensci.org/rixpress/
Package repository	View on CRAN
Installation	Install the latest version of this package by entering the following in R: `install.packages("rixpress")`