https://github.com/cwwhitney/edible_plants_bayesian-hierarchical-modeling

Bayesian hierarchical modeling to determine total edible plants

https://github.com/cwwhitney/edible_plants_bayesian-hierarchical-modeling

Science Score: 26.0%

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Repository

Bayesian hierarchical modeling to determine total edible plants

Basic Info
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  • Stars: 0
  • Watchers: 1
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  • Open Issues: 1
  • Releases: 0
Created about 1 year ago · Last pushed 12 months ago
Metadata Files
Readme License

README.md

edibleplantsBayesian-hierarchical-modeling

Overview

Estimate the proportion and total number of edible vascular plant species using Bayesian hierarchical modeling.

Method

  1. Simulate Data: Generate species data with edibility factors.
  2. Fit Model: Use brms for Bayesian logistic regression.
  3. Posterior Inference: Estimate the percentage and number of edible plants.
  4. Model Validation: Run predictive checks to assess model fit.

Usage

  1. Install required packages: r install.packages(c("tidyverse", "brms", "bayesplot", "HDInterval", "bookdown"))
  2. Run Index.Rmd to execute the analysis.
  3. Review output for estimated edible species and model diagnostics.

Contact

Cory Whitney - cory.whitney@uni-bonn.de

Owner

  • Name: Cory Whitney
  • Login: CWWhitney
  • Kind: user
  • Location: Bonn, Germany
  • Company: University of Bonn

Holistic and collaborative research processes related to decision theory, human ecology, ethno- botany/biology/ecology.

GitHub Events

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  • Avg Commits per committer: 12.0
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CWWhitney w****y@g****m 12

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  • Average comments per issue: 0.0
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Past Year
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  • Average time to close issues: N/A
  • Average time to close pull requests: less than a minute
  • Issue authors: 1
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  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 2
  • Bot issues: 0
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  • CWWhitney (2)
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