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[PRE REVIEW]: CausalR: A Shiny R Application for Assessing Causal Impact in Time Series Data #7431
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Five most similar historical JOSS papers: BCEA: An R Package for Cost-Effectiveness Analysis localcovid19now: processing and mapping COVID-19 case data at subnational scales fishRman: A Shiny R Dashboard improving Global Fishing Watch data availability portalcasting: Supporting automated forecasting of rodent populations secuTrialR: Seamless interaction with clinical trial databases in R |
@editorialbot query scope 👋 @policybot2020 - I am going to run this by our larger editorial board to make sure it qualifies under our substantial scholarly effort requirements. I'll get back in touch as soon as we reach a consensus. |
Submission flagged for editorial review. |
@editorialbot reject 👋 @policybot2020 - after further review with our larger editorial board I must reject your submission on the grounds of it not meeting our substantial scholarly effort requirement due to the small size of the codebase. Best wishes. |
Paper rejected. |
Submitting author: @policybot2020 (Jianyin Roachell)
Repository: https://github.com/Pandora-IsoMemo/CausalR
Branch with paper.md (empty if default branch): main
Version: v.0.0.1
Editor: Pending
Reviewers: Pending
Managing EiC: Chris Vernon
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