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ZENODO
Software . 2021
Data sources: Datacite
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ZENODO
Software . 2021
Data sources: ZENODO
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klabhub/bayesFactor: v2.1.0 - Adding log numerics and linear model analyses

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 28 May 2021Publisher:Zenodo
Authors: Bart Krekelberg;

doi: 10.5281/zenodo.4849568

klabhub/bayesFactor: v2.1.0 - Adding log numerics and linear model analyses

Abstract

Added the option to compute with log(probabilities) - necessary for large data sets where the product of many probabilities is too small compared to machine precsision. See internal.ral and bf.anova and use bf.options to enable this for your computations. Added utilities in the +lm package to work with linear models directly (and compare with Bayes factor approaches).

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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