University of Sussex
Browse
ludecke2021see.pdf (185.83 kB)

see: an R package for visualizing statistical models

Download (185.83 kB)
journal contribution
posted on 2023-06-10, 06:10 authored by Daniel Lüdecke, Indrajeet Patil, Mattan Ben-Shachar, Brenton Wiernik, Philip Waggoner, Dominique MakowskiDominique Makowski
The 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 Software

ISSN

2475-9066

Publisher

The Open Journal

Issue

64

Volume

6

Page range

a3393 1-10

Department affiliated with

  • Psychology Publications

Full text available

  • Yes

Peer reviewed?

  • Yes

Legacy Posted Date

2023-02-06

First Open Access (FOA) Date

2023-02-06

First Compliant Deposit (FCD) Date

2023-02-04

Usage metrics

    University of Sussex (Publications)

    Categories

    No categories selected

    Licence

    Exports

    RefWorks
    BibTeX
    Ref. manager
    Endnote
    DataCite
    NLM
    DC