Proper Citation: PyMC3 (RRID:SCR_018547)
Description: Software Python package for Bayesian statistical modeling and probabilistic machine learning which focuses on advanced Markov chain Monte Carlo and variational fitting algorithms. Allows model specification directly in Python code.
Resource Type: software resource, software toolkit
Defining Citation: DOI:10.7717/peerj-cs.55
Keywords: Bayesian statistical modeling, probabilistic machine learning, advanced Markov chain Monte Carlo, variational fitting algorithm, model specification, Python code
Availability: Free, Freely available
Resource Name: PyMC3
Resource ID: SCR_018547
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Source: SciCrunch Registry (RRID:SCR_005400)
Description: Interactive portal for finding and submitting biomedical resources. Resources within SciCrunch have assigned RRIDs which are used to cite resources in scientific manuscripts. SciCrunch Registry, formerly NIF Registry, provides resources catalog. Allows to add new resources. Allows edit existing resources after registration. Curators are tasked with identifying and registering resources, examining data, writing configuration files to index and display data and keeping contents current.
URL: https://rrid.site/rin/sources/SCR_005400
