# ------------------------------------------------ # CITATION.cff file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # ------------------------------------------------ cff-version: 1.2.0 message: 'To cite package "summarisebig" in publications use:' type: software license: MIT title: 'summarisebig: Grouped Summaries for Large ''arrow'' Datasets' version: 0.1.0 doi: 10.32614/CRAN.package.summarisebig abstract: Provides a 'dplyr'-like interface for grouped summaries on large 'arrow' datasets. Complete summaries are attempted in 'arrow' first. When a result can be reconstructed from 'arrow'-computable sufficient statistics, an explicit MapReduce-style reduction and 'R' finalization strategy is available. For arbitrary 'R' functions that require raw group observations, complete groups are materialized in bounded chunks, with optional parallel execution and shared-memory processing. The MapReduce strategy follows the programming model described by Dean and Ghemawat (2008) . authors: - family-names: Isella given-names: Lorenzo email: lorenzo.isella@gmail.com repository: https://larry77.r-universe.dev repository-code: https://github.com/larry77/summarisebig commit: d365622602027113050f75a17889b7063fcd5456 url: https://larry77.github.io/summarisebig/ date-released: '2026-09-11' contact: - family-names: Isella given-names: Lorenzo email: lorenzo.isella@gmail.com