bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework

2019 · The Journal of Open Source Software · 1,576 citations · 1 from inside this corpus

Dominique Makowski, Mattan S. Ben‐Shachar, Daniel Lüdecke

Makowski et al., (2019). bayestestR: Describing Effects and their Uncertainty, Existence and Significance within the Bayesian Framework. Journal of Open Source Software, 4(40), 1541, https://doi.org/10.21105/joss.01541

1 of 1 neighbouring works in this corpus. Blue is what this paper cites; orange is what cites it, and a dashed line is one neighbour citing another. Only the largest labels are drawn — every node carries its full title on hover.

this paper works it cites works citing it node size = global citations · hover for the full title

What cites it, inside the corpus

Paper	Year	Cited
performance: An R Package for Assessment, Comparison and Testing of Statistical Models	2021	5,687

Links

DOI · Open access copy · OpenAlex record

Topics

Explainable Artificial Intelligence (XAI)	Computer Science
Software Engineering Research	Computer Science
Scientific Computing and Data Management	Decision Sciences

Is this record sound?

complete

Nothing in this record contradicts itself and no field we check is missing.

supports3 author record(s) attached.
supports16 reference(s) recorded.
neutralThe DOI carries no year to check against.
supportsA title is present.

Provenance

Everything above was read from one stored OpenAlex payload, fetched 2026-09-04T03:58:57+00:00.

sha256 b3024609427ad450…