[PRE REVIEW]: CausalR: A Shiny R Application for Assessing Causal Impact in Time Series Data

[editorialbot]

Submitting author: !--author-handle-->@policybot2020<!--end-author-handle-- (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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[editorialbot]

Software report:

github.com/AlDanial/cloc v 1.90  T=0.01 s (1330.2 files/s, 151919.3 lines/s)
-------------------------------------------------------------------------------
Language                     files          blank        comment           code
-------------------------------------------------------------------------------
Markdown                         4            158              0            600
R                                7            137            172            579
CSV                              3              0              0            303
TeX                              1              9              0             81
YAML                             2             13             23             68
CSS                              1              3              3             11
Dockerfile                       1              3              3              4
-------------------------------------------------------------------------------
SUM:                            19            323            201           1646
-------------------------------------------------------------------------------

Commit count by author:

    39  The Policybot Lab
     9  Jian Roachell
     2  Antonia Runge
     2  Roachell
     1  isomemo
     1  jroachell

[editorialbot]

Paper file info:

📄 Wordcount for paper.md is 1083

✅ The paper includes a Statement of need section

[editorialbot]

License info:

🟡 License found: GNU General Public License v3.0 (Check here for OSI approval)

[editorialbot]

Reference check summary (note 'MISSING' DOIs are suggestions that need verification):

✅ OK DOIs

- 10.1214/14-AOAS788 is OK
- 10.1029/2019WR026166 is OK

🟡 SKIP DOIs

- No DOI given, and none found for title: CausalImpact 1.3.0
- No DOI given, and none found for title: Causal impact of fire on expansion of a globally r...
- No DOI given, and none found for title: Bayesian causal inference in automotive software e...
- No DOI given, and none found for title: Causal Inference for Banking Finance and Insurance...

❌ MISSING DOIs

- 10.5334/labphon.200 may be a valid DOI for title: Limitations of difference-in-difference for measur...
- 10.32614/cran.package.causaloptim may be a valid DOI for title: causaloptim: An Interface to Specify Causal Graphs...
- 10.2139/ssrn.2304426 may be a valid DOI for title: Predicting the present with Bayesian structural ti...

❌ INVALID DOIs

- 10.1140/epjds/s13688-020-00241-3 is INVALID

[editorialbot]

:point_right::page_facing_up: Download article proof :page_facing_up: View article proof on GitHub :page_facing_up: :point_left:

[editorialbot]

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[crvernon]

@editorialbot query scope

:wave: @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.

[editorialbot]

Submission flagged for editorial review.

[crvernon]

@editorialbot reject

:wave: @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.

[editorialbot]

Paper rejected.