R: Build Reproducible Analytical Pipelines with 'Nix'

# Build Reproducible Analytical Pipelines with 'Nix'

## Documentation for package ‘rixpress’ version 0.12.3

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

add_import | Add an Import Statement to Python Files in the _rixpress Folder Matching a Nix Environment Name
adjust_import | Adjust Python Import Statements
print.rxp_derivation | Print Method for Derivation Objects
print.rxp_pipeline | Print Method for rxp_pipeline Objects
rxp_check_chronicles | Check Pipeline Outputs for Chronicle Status
rxp_copy | Copy Derivations From the Nix Store to Current Working Directory
rxp_dag_for_ci | Export DAG of Pipeline and Prepare It for Rendering on CI
rxp_export_artifacts | Export Nix Store Paths to an Archive
rxp_ga | Run a Pipeline on GitHub Actions
rxp_gc | Garbage Collect Rixpress Build Artifacts and Logs
rxp_ggdag | Create a Directed Acyclic Graph (DAG) Representing the Pipeline Using '{ggplot2}'
rxp_import_artifacts | Import Nix Store Paths from an Archive
rxp_init | Initialize Rixpress Project
rxp_inspect | Inspect the Build Result of a Pipeline
rxp_jl | Create a Nix Expression Running a Julia Function
rxp_jl_file | Creates a Nix Expression That Reads In a File (or Folder of Data) Using Julia
rxp_list_logs | List All Available Build Logs
rxp_load | Load Output of a Derivation
rxp_make | Build Pipeline Using Nix
rxp_pipeline | Create a Named Pipeline of Derivations
rxp_populate | Generate Nix Pipeline Code
rxp_py | Create a Nix Expression Running a Python Function
rxp_py2r | Transfer Python Object into an R Session
rxp_py_file | Creates a Nix Expression That Reads In a File (or Folder of Data) Using Python
rxp_qmd | Render a Quarto Document as a Nix Derivation
rxp_r | Create a Nix Expression Running an R Function
rxp_r2py | Transfer R Object into a Python Session
rxp_read | Read Output of a Derivation
rxp_rmd | Render an R Markdown Document as a Nix Derivation
rxp_r_file | Creates a Nix Expression That Reads In a File (or Folder of Data) Using R
rxp_trace | Trace Lineage of Derivations
rxp_visnetwork | Create a Directed Acyclic Graph (DAG) Representing the Pipeline Using '{visNetwork}'
rxp_write_dag | Generate a DAG From a List of Derivations