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Group 19 - compassistr (R) #33
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Package ReviewPlease check off boxes as applicable, and elaborate in comments below. Your review is not limited to these topics, as described in the reviewer guide
DocumentationThe package includes all the following forms of documentation:
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Estimated hours spent reviewing: 1 hour
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Package ReviewPlease check off boxes as applicable, and elaborate in comments below. Your review is not limited to these topics, as described in the reviewer guide
DocumentationThe package includes all the following forms of documentation:
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1:30 Review CommentsOverall a very nice package with meticulous implementation. No errors or bugs found while reviewing and running checks and tests locally.
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1.5 hours Review Comments
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Package ReviewPlease check off boxes as applicable, and elaborate in comments below. Your review is not limited to these topics, as described in the reviewer guide
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name: compassistr
about: A set of tools to help compute task time and probabilities for video game completionist tasks.
Submitting Author Name: Samson Bakos, Marian Agyby, Waiel Tinwala, Ashwin Babu
Submitting Author Github Handle: @samson-bakos, @marianagyby, @WaielonH, @ashwin2507
Repository: https://github.com/UBC-MDS/compassistr
Version submitted: v1.0.0
Submission type: Standard
Editor: TBD
Reviewers: Raul Lopez, Rus Dimitrov, Eric Tsai, Revanthy Ponnambalam
Archive: TBD
Version accepted: TBD
Language: English
Scope
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Explain how and why the package falls under these categories (briefly, 1-2 sentences):
Reproducibility: This package and its code is fully open source.
Other: The package mainly does statistical computations. The package could be used as an educational tool for solving statistical probability problems.
The target audience includes anyone who plays video games and would like to compute the time and/or probability to complete a task, or anyone who is interested in examples of statistical probability problems.
The unique application of this package is to provide a centralized location for multiple different tools, to simplify calculation for users with less statistical understanding and tailor outputs to specific video game applications, as well as to provide additional helpful functionalities such as visualizations and rankings.
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