Lightweight Reproducible Reporting

Order, create and store reports from R. By defining a lightweight interface around the inputs and outputs of an analysis, a lot of the repetitive work for reproducible research can be automated. We define a simple format for organising and describing work that facilitates collaborative reproducible research and acknowledges that all analyses are run multiple times over their lifespans.


Reference manual

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1.0.4 by Rich FitzJohn, a year ago

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Authors: Rich FitzJohn [aut, cre] , Robert Ashton [aut] , Alex Hill [aut] , Martin Eden [aut] , Wes Hinsley [aut] , Emma Russell [aut] , James Thompson [aut] , Imperial College of Science , Technology and Medicine [cph]

Documentation:   PDF Manual  

Task views: Reproducible Research

MIT + file LICENSE license

Imports DBI, R6, RSQLite, digest, docopt, fs, ids, withr, yaml, zip

Suggests httr, jsonlite, knitr, mockery, processx, rmarkdown, testthat, vaultr

System requirements: git

See at CRAN