block_rand              Create a blocked randomization function
estimate_values         Estimate values for all treatment regimes
gen_no_trt_resp         Generate sample data for a two-stage SMART
                        where responders are not re-randomized
get_an                  Compute the An matrix for the sandwich variance
                        estimator
get_bn                  Compute the Bn matrix for the sandwich variance
                        estimator
get_bounds              Compute all stopping boundaries for a
                        two-analysis group sequential design
get_bounds_chi          Compute the first chi-squared stopping boundary
                        for a group sequential design
get_first_bound         Compute the first stopping boundary for a group
                        sequential design
get_kappa               Compute the kappa (stage reached) for each
                        individual
get_next_bound          Compute subsequent stopping boundaries for a
                        group sequential design
get_nu                  Estimate stage arrival probabilities (nu)
get_q_coefs             Extract coefficients from all fitted Q-function
                        models
get_q_fits              Fit outcome regression (Q-function) models
                        across all stages for a single regime
get_sample_size         Determine sample size for a group sequential
                        SMART design
get_sample_size_chi     Determine sample size for a chi-squared global
                        test in a group sequential SMART design
iaipwe                  IAIPWE for K-stage SMARTs with up to 2
                        treatment options at each stage
pcsttrial               pcsttrial: Simulated Clinical Trial Data for
                        Pain Coping Skills Training
pi_fits                 Fit propensity score models for all stages
pstep                   Fit a propensity score model for a single stage
qstep                   Fit an outcome regression (Q-function) model
                        for a single stage
regime_list_no_trt_resp
                        Generate regime lists for a two-stage SMART
                        where responders are not re-randomized
sim_treatment           Simulate treatment assignments for a single
                        stage
smart_design            Compute stopping boundaries and sample size for
                        a group sequential SMART
value_terms             Compute the individual-level value terms for a
                        single regime
