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RobustiPy/robustipy: v1.0.1 for Zenodo

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 19 Jun 2025Embargo end date: 01 Jan 2021 English Publisher:Zenodo
Authors: Valdenegro Ibarra, Daniel; Yan, Jiani; Dai, Duiyi; Rahal, Charles;

doi: 10.5281/zenodo.15700697 , 10.5281/zenodo.15700698

RobustiPy/robustipy: v1.0.1 for Zenodo

Abstract

This is our first full release of RobustiPy, a new multiversal library for better assessing model uncertainty. See the README.md on GitHub for information about an accompanying working paper which describes the library.

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Keywords

FOS: Economics and business, Data Science, Model Uncertainty, Econometrics, Statistical Software

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
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.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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