passt: An R implementation of the Probability Associator Time (PASS-T) model

R Submitted 05 November 2019Published 05 February 2020
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Editor: @oliviaguest (all papers)
Reviewers: @nicksexton (all reviews), @russellpierce (all reviews)

Authors

Johannes Titz (0000-0002-1102-5719)

Citation

Titz, (2020). passt: An R implementation of the Probability Associator Time (PASS-T) model. Journal of Open Source Software, 5(46), 1900, https://doi.org/10.21105/joss.01900

@article{Titz2020, doi = {10.21105/joss.01900}, url = {https://doi.org/10.21105/joss.01900}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {46}, pages = {1900}, author = {Johannes Titz}, title = {passt: An R implementation of the Probability Associator Time (PASS-T) model}, journal = {Journal of Open Source Software} }
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judgments of frequency judgments of duration PASS-T artificial neural network

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ISSN 2475-9066