ludecke2021see.pdf (185.83 kB)
see: an R package for visualizing statistical models
journal contribution
posted on 2023-06-10, 06:10 authored by Daniel Lüdecke, Indrajeet Patil, Mattan Ben-Shachar, Brenton Wiernik, Philip Waggoner, Dominique MakowskiDominique MakowskiThe see package is embedded in the easystats ecosystem, a collection of R packages that operate in synergy to provide a consistent and intuitive syntax when working with statistical models in the R programming language (R Core Team, 2021). Most easystats packages return comprehensive numeric summaries of model parameters and performance. The see package complements these numeric summaries with a host of functions and tools to produce a range of publication-ready visualizations for model parameters, predictions, and performance diagnostics. As a core pillar of easystats, the see package helps users to utilize visualization for more informative, communicable, and well-rounded scientific reporting.
History
Publication status
- Published
File Version
- Published version
Journal
Journal of Open Source SoftwareISSN
2475-9066Publisher
The Open JournalExternal DOI
Issue
64Volume
6Page range
a3393 1-10Department affiliated with
- Psychology Publications
Full text available
- Yes
Peer reviewed?
- Yes
Legacy Posted Date
2023-02-06First Open Access (FOA) Date
2023-02-06First Compliant Deposit (FCD) Date
2023-02-04Usage metrics
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