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Hbayesdm: Hierarchical Bayesian Modeling Of Decision-Making Tasks

descriptionPublicationkeyboard_double_arrow_right Conference object 21 Jan 2017Publisher:Zenodo
Authors: Ahn, Woo-Young; Haines, Nate; Zhang, Lei;

doi: 10.5281/zenodo.1284262 , 10.5281/zenodo.1284261

Hbayesdm: Hierarchical Bayesian Modeling Of Decision-Making Tasks

Abstract

hBayesDM (hierarchical Bayesian modeling of Decision-Making tasks) is a user-friendly R package that offers hierarchical Bayesian analysis of various computational models on an array of decision-making tasks. Click here to download its help file (reference manual). Click here to read our preprint. You can find hBayesDM on CRAN now.

Code available at github.com/stan-dev/stancon_talks

Related Organizations
Keywords

StanCon, Bayesian Data Analysis, Stan

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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).
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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.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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impulse
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