plnr: A Framework for Planning and Executing Analyses
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.
| Version: |
2025.11.22 |
| 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 |
| Published: |
2025-11-22 |
| DOI: |
10.32614/CRAN.package.plnr |
| Author: |
Richard Aubrey White
 [aut, cre] |
| Maintainer: |
Richard Aubrey White <hello at rwhite.no> |
| BugReports: |
https://github.com/raubreywhite/plnr/issues |
| License: |
MIT + file LICENSE |
| URL: |
https://www.rwhite.no/plnr/, https://github.com/raubreywhite/plnr |
| NeedsCompilation: |
no |
| Citation: |
plnr citation info |
| Materials: |
README, NEWS |
| CRAN checks: |
plnr results |
Documentation:
Downloads:
Reverse dependencies:
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