A Framework for Planning and Executing Analyses R package plnr version 2025.11.22 A comprehensive framework for planning and executing analyses in R. It provides a structured approach to running the same function multiple times with different arguments, executing multiple functions on the same datasets, and creating systematic analyses across multiple strata or variables. The framework is particularly useful for applying the same analysis across multiple strata (e.g., locations, age groups), running statistical methods on multiple variables (e.g., exposures, outcomes), generating multiple tables or graphs for reports, and creating systematic surveillance analyses. Key features include efficient data management, structured analysis planning, flexible execution options, built-in debugging tools, and hash-based caching. Software Depends: R (>= 4.1.0) Imports: data.table, digest, fs, foreach, glue, pbmcapply, purrr, R6, stats, tidyr, usethis, utils, uuid Suggests: testthat, knitr, rmarkdown, progressr, ggplot2, readxl, magrittr Richard Aubrey White <hello@rwhite.no> Comprehensive R Archive Network (CRAN) Richard Aubrey White [aut, cre] (ORCID: <https://orcid.org/0000-0002-6747-1726>) MIT + file LICENSE (https://CRAN.R-project.org/package=plnr/LICENSE) 2025-11-22 application/tgz https://CRAN.R-project.org/package=plnr doi:10.32614/CRAN.package.plnr