TEfits: Nonlinear regression for time-evolving indices

R Submitted 21 May 2020Published 21 August 2020
Review

Editor: @cMadan (all papers)
Reviewers: @ejhigson (all reviews), @paul-buerkner (all reviews)

Authors

Aaron Cochrane (0000-0001-6691-9149)

Citation

Cochrane, A., (2020). TEfits: Nonlinear regression for time-evolving indices. Journal of Open Source Software, 5(52), 2535, https://doi.org/10.21105/joss.02535

@article{Cochrane2020, doi = {10.21105/joss.02535}, url = {https://doi.org/10.21105/joss.02535}, year = {2020}, publisher = {The Open Journal}, volume = {5}, number = {52}, pages = {2535}, author = {Aaron Cochrane}, title = {TEfits: Nonlinear regression for time-evolving indices}, journal = {Journal of Open Source Software} }
Copy citation string · Copy BibTeX  
Tags

Psychology Nonlinear regression Generalized nonlinear model Perceptul learning

Altmetrics
Markdown badge

 

License

Authors of JOSS papers retain copyright.

This work is licensed under a Creative Commons Attribution 4.0 International License.

Creative Commons License

Table of Contents
Public user content licensed CC BY 4.0 unless otherwise specified.
ISSN 2475-9066