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ZENODO
Software . 2016
Data sources: Datacite
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ZENODO
Software . 2016
Data sources: ZENODO
Claim

pypmc: Version 1.1

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 31 Aug 2016Publisher:Zenodo
Authors: jPhy; Frederik Beaujean;
Code repository: https://github.com/fredRos/pypmc/tree/v1.1

doi: 10.5281/zenodo.61270

pypmc: Version 1.1

Abstract

New features ImportanceSampler optionally stores the values of the target density plot_mixture can color components based on their weight rather than their index the new PMC class can run multiple EM updates until convergence Fixes fix installation on mac without cython compatible to newer version of numpy fix too large a prune value in GaussianInference Breaking changes remove DeterministicIS. No class was needed, all the functionality is now contained in combine_weights MarkovChain and ImportanceSampler don't have a combined history anymore, weights and samples are accessible as their own History objects

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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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