Project Information |
brice.semmens
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Description
This project includes R scripts and data to estimate daily trap efficiency based on mark recapture data and flow rate data. Efficiency is modeled as an AR1 process with flow influencing transitions between states. Process error is estimated, while observation error is assumed to be Poisson.
Files
trap /
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| Name | Status | Rev | Size | Updated | Downloads | Brief Description | Actions |
|---|---|---|---|---|---|---|---|
| 2008 Johnson Cr. Chinook (BY 07) Known Universe Calcs (1-3-11).xls |
Stable
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1 | 273.5 KB | 01/18/2011 17:02 PST | 5 5 | This is the original data in Excel |
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| trap_efficiency.R |
Stable
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2 | 626 B | 01/18/2011 17:14 PST | 14 14 | This is the R script that creates the JAGS scripts, runs the models, plots, etc. |
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| trap_efficiency_plot.pdf |
Stable
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1 | 106.72 KB | 01/18/2011 17:02 PST | 17 17 | This is a graph of the model output. Here, the black line represents the best estimate of daily efficiency, while the gray polygon gives the 95% credible intervals for daily efficiency. |
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| trap_eff_data_1_13_11.txt |
Stable
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1 | 4.75 KB | 01/18/2011 17:02 PST | 6 6 | These are the data that the R script uses; they are pulled directly from the original Excel file. |
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