rum_data: Format Data for Random Utility Model Function to format data...
In peterkuriyama/ch4:
Description
Format Data for Random Utility Model
Function to format data for random utility model. Each row should be a cluster
and columns represent arguments for each coefficient. Only consider canary,
darkblotched, POP, and yelloweye to be weak stock species
Usage
1
2
rum_data(the_input, the_quotas = quotas, risk_aversion,
weak_value = "hpounds")
Arguments
the_input
Data for input
the_quotas
Quota amounts, used to determine how close to quota a vessel is
risk_aversion
The extent to which vessel avoids weak stock species
weak_value
Value of interest; could expected values for:
hpounds or quota_over
peterkuriyama/ch4 documentation built on June 18, 2021, 9:59 a.m.
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Description
Format Data for Random Utility Model Function to format data for random utility model. Each row should be a cluster and columns represent arguments for each coefficient. Only consider canary, darkblotched, POP, and yelloweye to be weak stock species
Usage
1 2 | rum_data(the_input, the_quotas = quotas, risk_aversion,
weak_value = "hpounds")
|
Arguments
the_input |
Data for input |
the_quotas |
Quota amounts, used to determine how close to quota a vessel is |
risk_aversion |
The extent to which vessel avoids weak stock species |
weak_value |
Value of interest; could expected values for: hpounds or quota_over |
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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