p_op_1_k_fun: p_op_1_k_fun
In KennethEnevoldsen/SiRToM: SirToM: Simulation in R: Theory of Mind.
Description
Usage
Arguments
Value
Author(s)
References
Description
k-ToM combines the mean choice probability estimate and the variances of its parameter estimates into a final choice probability estimate.
NB: this is the function taken from the VBA package (Daunizeau 2014), which does not use k-ToM's volatility parameter
Usage
1
p_op_1_k_fun(hidden_states, params)
Arguments
hidden_states
k-ToM's updated estimates for this round
Value
The estimated choice probabilities of the opponent, for each possible opponent level
Author(s)
K. Enevoldsen & P. Waade
References
Daunizeau (2014)
KennethEnevoldsen/SiRToM documentation built on May 28, 2019, 9:32 a.m.
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Description Usage Arguments Value Author(s) References
Description
k-ToM combines the mean choice probability estimate and the variances of its parameter estimates into a final choice probability estimate. NB: this is the function taken from the VBA package (Daunizeau 2014), which does not use k-ToM's volatility parameter
Usage
1 | p_op_1_k_fun(hidden_states, params)
|
Arguments
hidden_states |
k-ToM's updated estimates for this round |
Value
The estimated choice probabilities of the opponent, for each possible opponent level
Author(s)
K. Enevoldsen & P. Waade
References
Daunizeau (2014)
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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