mab_sim: (Contextual) MAB Simulation
In dfcorbin/MABsim: Run (contextual) Multi-Armed Bandit Simulations

(Contextual) MAB Simulation

mab_sim(
  nsteps,
  reward_funs,
  sd,
  J,
  alpha = 1,
  a = 3,
  b = 1,
  repartition = TRUE
)

`nsteps`	The number of steps (decisions) in the simulation.
`reward_funs`	A list of functions givin the expected reward of each earm (given context x).
`sd`	A numeric vector giving the standard deviation of each lever.
`J`	The number of basis functions to be used in the model.
`alpha`	A scaling parameter for the prior variances. The prior variance of the i'th model coefficient is given by i^-alpha (the intercept is the 0'th coefficient, and has a prior variance of 1).
`a`	The shape parameter for the inverse gamma distribution.
`b`	The scale parameter for the inverse gamma distribution.
`repartition`	Set to FALSE if you don't want to partition the context space.