Agent                   Agent
Bandit                  Bandit: Superclass
BasicBernoulliBandit    Bandit: BasicBernoulliBandit
BasicGaussianBandit     Bandit: BasicGaussianBandit
BootstrapTSPolicy       Policy: Thompson sampling with the online
                        bootstrap
ContextualBernoulliBandit
                        Bandit: Naive Contextual Bernouilli Bandit
ContextualBinaryBandit
                        Bandit: ContextualBinaryBandit
ContextualEpochGreedyPolicy
                        Policy: A Time and Space Efficient Algorithm
                        for Contextual Linear Bandits
ContextualEpsilonGreedyPolicy
                        Policy: ContextualEpsilonGreedyPolicy with
                        unique linear models
ContextualHybridBandit
                        Bandit: ContextualHybridBandit
ContextualLinTSPolicy   Policy: Linear Thompson Sampling with unique
                        linear models
ContextualLinearBandit
                        Bandit: ContextualLinearBandit
ContextualLogitBTSPolicy
                        Policy: ContextualLogitBTSPolicy
ContextualLogitBandit   Bandit: ContextualLogitBandit
ContextualPrecachingBandit
                        Bandit: ContextualPrecachingBandit
ContextualTSProbitPolicy
                        Policy: ContextualTSProbitPolicy
ContextualWheelBandit   Bandit: ContextualWheelBandit
ContinuumBandit         Bandit: ContinuumBandit
EpsilonFirstPolicy      Policy: Epsilon First
EpsilonGreedyPolicy     Policy: Epsilon Greedy
Exp3Policy              Policy: Exp3
FixedPolicy             Policy: Fixed Arm
GittinsBrezziLaiPolicy
                        Policy: Gittins Approximation algorithm for
                        choosing arms in a MAB problem.
GradientPolicy          Policy: Gradient
History                 History
LifPolicy               Policy: Continuum Bandit Policy with Lock-in
                        Feedback
LinUCBDisjointOptimizedPolicy
                        Policy: LinUCB with unique linear models
LinUCBDisjointPolicy    Policy: LinUCB with unique linear models
LinUCBGeneralPolicy     Policy: LinUCB with unique linear models
LinUCBHybridOptimizedPolicy
                        Policy: LinUCB with hybrid linear models
LinUCBHybridPolicy      Policy: LinUCB with hybrid linear models
OfflineBootstrappedReplayBandit
                        Bandit: Offline Bootstrapped Replay
OfflineDirectMethodBandit
                        Bandit: Offline Direct Methods
OfflineDoublyRobustBandit
                        Bandit: Offline Doubly Robust
OfflineLookupReplayEvaluatorBandit
                        Bandit: Offline Replay with lookup tables
OfflinePropensityWeightingBandit
                        Bandit: Offline Propensity Weighted Replay
OfflineReplayEvaluatorBandit
                        Bandit: Offline Replay
OraclePolicy            Policy: Oracle
Plot                    Plot
Policy                  Policy: Superclass
RandomPolicy            Policy: Random
Simulator               Simulator
SoftmaxPolicy           Policy: Softmax
ThompsonSamplingPolicy
                        Policy: Thompson Sampling
UCB1Policy              Policy: UCB1
UCB2Policy              Policy: UCB2
clipr                   Clip vectors
dec<-                   Decrement
formatted_difftime      Format difftime objects
get_arm_context         Return context vector of an arm
get_full_context        Get full context matrix over all arms
inc<-                   Increment
ind                     On-the-fly indicator function for use in
                        formulae
inv                     Inverse from Choleski (or QR) Decomposition.
invgamma                The Inverse Gamma Distribution
invlogit                Inverse Logit Function
is_rstudio              Check if in RStudio
mvrnorm                 Simulate from a Multivariate Normal
                        Distribution
one_hot                 One Hot Encoding of data.table columns
plot.history            Plot Method for Contextual History
print.history           Print Method for Contextual History
prob_winner             Binomial Win Probability
sample_one_of           Sample one element from vector or list
set_external            Change Default Graphing Device from RStudio
sherman_morrisson       Sherman-Morrisson inverse
sim_post                Binomial Posterior Simulator
sum_of                  Sum of list
summary.history         Summary Method for Contextual History
value_remaining         Potential Value Remaining
var_welford             Welford's variance
which_max_list          Get maximum value in list
which_max_tied          Get maximum value randomly breaking ties
