Dynamic Reinforcement Learning and Adaptive Progressive Censoring

---

Documentation for package ‘DRLAP2’ version 0.1.1

• DESCRIPTION file.

Help Pages

calc_reward	Calculate Reward Signal
compute_drl_sums_cpp	Compute DRL Sums (C++)
drl_log_target_beta_cpp	Compute Log Target Density for Beta (C++)
fit_drl_bayes	Bayesian MCMC Sampler for DRL-AP2 Weibull Model
fit_drl_mle	Maximum Likelihood Estimation for DRL-AP2 Weibull Model (C++ Accelerated)
init_drl_env	Initialize MDP State Observer for Dynamic Censoring