PAR(2) reproducibility: analysis code and expected results
Year: 2026
Type: software
Abstract: Analysis code, dataset accessions and expected results for the published PAR(2) papers. The MIT licence below covers this repository only; the AR(2) fitting comes from the par2-circadian package, which is licensed for noncommercial use, so the pipeline as a whole is noncommercial. Software and platform Analyses use the par2-circadian Python package (RRID:SCR_028837), installable with pip install par2-circadian and archived at 10.5281/zenodo.21963192 (concept DOI — resolves to the latest version). The interactive PAR(2) Discovery Engine is at par2discovery.com, with public source at github.com/mickwh2764/par2-engine. The software is released under the PolyForm Noncommercial License 1.0.0; commercial licences are available separately. The AR(2) eigenvalue methodology is the subject of pending UK patent application GB2518973.9.
Author: Whiteside, Michael
Language: English
Subfield: Endocrine and Autonomic Systems
Field: Neuroscience
Domain: Life Sciences
Open Access status: green
OpenAlex ID: W7203569520