Man pages for dfcorbin/npbanditC
(Contextual) Multi-Armed Bandit Simulations
| bandit-class | S4 Class to represent output of Bandit Algorithm |
| empty_split_history | Create a completely empty history for the split bandit... |
| expand | Basis expansion of x |
| fourier_basis | Generate a list of functions from the fourier basis |
| gen_phi | Compute basis expansion. |
| gen_priors | Generate Prior Distribution on Bandit Parameters |
| legendre_basis | Generate Legendre Polynomials |
| MAB-class | S4 Class to represent output of Generic MAB Algorithm |
| MAB_split-class | MAB_split class |
| new_bandit | Create a new object of class bandit |
| new_MAB | Generate a new object of S4 class MAB |
| npbanditC-package | A short title line describing what the package does |
| rand_levers | Generate mean-reward functions from the true prior... |
| rand_thompson | Simulate Bandit Problem (Thompson Sampling) |
| set_seed | Set seed |
| sim_bandit | Generic C-MAB Simulation |
| sim_params | Simulate Parameters |
| sim_rand_bandit | Simulate Random Bandit |
| split_bandit | MAB simulation with partitioned context |
| test_J | Estimate average regret for a given J (MUST SET SEED) |
| thompson | Generic Multi-Armed-Bandit Simulation |
| update_post | Update a Posterior Distribution |
