test_J: Estimate average regret for a given J (MUST SET SEED)
In dfcorbin/npbanditC: (Contextual) Multi-Armed Bandit Simulations
Description
Estimate average regret for a given J (MUST SET SEED)
Usage
1
test_J(Jvals, J_true, nsteps = 2000, nsim = 100, seed = 100)
Arguments
Jvals
The differnt J values to try.
J_true
The true value of J.
nsteps
number of steps per simulation.
nsim
The number of simulations for each value of J.
seed
The seed to control the random outcome.
dfcorbin/npbanditC documentation built on March 23, 2020, 5:25 a.m.
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Description
Estimate average regret for a given J (MUST SET SEED)
Usage
1 | test_J(Jvals, J_true, nsteps = 2000, nsim = 100, seed = 100)
|
Arguments
Jvals |
The differnt J values to try. |
J_true |
The true value of J. |
nsteps |
number of steps per simulation. |
nsim |
The number of simulations for each value of J. |
seed |
The seed to control the random outcome. |
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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