gen_priors: Generate Prior Distribution on Bandit Parameters
In dfcorbin/npbanditC: (Contextual) Multi-Armed Bandit Simulations

Generate Prior Distribution on Bandit Parameters

1	gen_priors(nlevers, J, bas_type, alpha = 1, b = 1)

`nlevers`	An integer representing the number of levers to choose from.
`J`	An integer representing the number coefficients that are being used in the non-parametric model. #' @param bas_type Either "fourier" or "poly".
`alpha`	Scaling parameter to tune the prior variances.
`b`	Hyperparameter for the inverse gamma distribution. Directly related to the rate of exploration.

A list containing a prior distribution for the parameters associated with each lever. Each prior distribution is itself a a list containing the hyperparameters.

dfcorbin/npbanditC documentation built on March 23, 2020, 5:25 a.m.