discounting.model.log.likelihood: What's the log likelihood of the choice data given a...
In johnmyleswhite/BehavioralEconomics: Statistical models for behavioral economics
Description
Usage
Arguments
Value
Examples
Description
What's the log likelihood of the choice data given a parameterized model?
Usage
1
discounting.model.log.likelihood(choices, model, parameters)
Arguments
choices
Standard choices data frame.
model
exponential
parameters
model parameters
Value
A negative scalar value.
Examples
1
2
3
4
5
6
7
parameters <- list('a' = 1, 'delta' = 0.9)
choices <- discounting.model.simulate(discounting.model.generate.choice.set(10, 10:20, 0:5, 10:30, 0:10),
'exponential',
parameters)
discounting.model.log.likelihood(choices, model = 'exponential', parameters)
johnmyleswhite/BehavioralEconomics documentation built on May 19, 2019, 5:17 p.m.
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Description Usage Arguments Value Examples
Description
What's the log likelihood of the choice data given a parameterized model?
Usage
1 | discounting.model.log.likelihood(choices, model, parameters)
|
Arguments
choices |
Standard choices data frame. |
model |
exponential |
parameters |
model parameters |
Value
A negative scalar value.
Examples
1 2 3 4 5 6 7 | parameters <- list('a' = 1, 'delta' = 0.9)
choices <- discounting.model.simulate(discounting.model.generate.choice.set(10, 10:20, 0:5, 10:30, 0:10),
'exponential',
parameters)
discounting.model.log.likelihood(choices, model = 'exponential', parameters)
|
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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