Cram Method for Efficient Simultaneous Learning and Evaluation

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Documentation for package ‘cramR’ version 0.1.0

• DESCRIPTION file.
• User guides, package vignettes and other documentation.
• Package NEWS.

Help Pages

BatchContextualEpsilonGreedyPolicy	Batch Contextual Epsilon-Greedy Policy
BatchContextualLinTSPolicy	Batch Contextual Thompson Sampling Policy
BatchLinUCBDisjointPolicyEpsilon	Batch Disjoint LinUCB Policy with Epsilon-Greedy
ContextualLinearBandit	Contextual Linear Bandit Environment
cram_bandit	Cram Bandit: On-policy Statistical Evaluation in Contextual Bandits
cram_bandit_est	Cram Bandit Policy Value Estimate
cram_bandit_sim	Cram Bandit Simulation
cram_bandit_var	Cram Bandit Variance of the Policy Value Estimate
cram_estimator	Cram Policy Estimator for Policy Value Difference (Delta)
cram_expected_loss	Cram ML Expected Loss Estimate
cram_learning	Cram Policy Learning
cram_ml	Cram ML: Simultaneous Machine Learning and Evaluation
cram_policy	Cram Policy: Efficient Simultaneous Policy Learning and Evaluation
cram_policy_value_estimator	Cram Policy: Estimator for Policy Value (Psi)
cram_simulation	Cram Policy Simulation
cram_variance_estimator	Cram Policy: Variance Estimate of the crammed Policy Value Difference (Delta)
cram_variance_estimator_policy_value	Cram Policy: Variance Estimate of the crammed Policy Value estimate (Psi)
cram_var_expected_loss	Cram ML: Variance Estimate of the crammed expected loss estimate
fit_model	Cram Policy: Fit Model
fit_model_ml	Cram ML: Fit Model ML
get_betas	Generate Reward Parameters for Simulated Linear Bandits
LinUCBDisjointPolicyEpsilon	LinUCB Disjoint Policy with Epsilon-Greedy Exploration
ml_learning	Cram ML: Generalized ML Learning
model_predict	Cram Policy: Predict with the Specified Model
model_predict_ml	Cram ML: Predict with the Specified Model
set_model	Cram Policy: Set Model
test_baseline_policy	Validate or Set the Baseline Policy
test_batch	Validate or Generate Batch Assignments
validate_params	Cram Policy: Validate User-Provided Parameters for a Model
validate_params_fnn	Cram Policy: Validate Parameters for Feedforward Neural Networks (FNNs)