blinded_ssr             Blinded sample size re-estimation for recurrent
                        events
calculate_blinded_info
                        Calculate blinded statistical information
check_gs_bound          Check group sequential bounds
compute_info_at_time    Compute statistical information at analysis
                        time
cut_completers          Cut data for completers analysis
cut_data_by_date        Cut simulated trial data at a calendar date
cut_date_for_completers
                        Find calendar date for target completer count
estimate_nb_mom         Method of Moments Estimation for Negative
                        Binomial Parameters
fit_nb_glmm             Fit a negative binomial GLMM for count
                        imputation
get_analysis_date       Find calendar date for target event count
get_cut_date            Determine analysis date based on criteria
gsNBCalendar            Group sequential design for negative binomial
                        outcomes
impute_nb               Multiple imputation for longitudinal negative
                        binomial counts
impute_nb_composite     Apply the composite ICE strategy: replace
                        post-ICE outcomes with baseline
impute_nb_mar           Impute missing counts under Missing at Random
                        (MAR)
impute_nb_mnar_ref      Impute missing counts under a reference-based
                        MNAR assumption
mutze_test              Wald or score test for treatment effect using
                        negative binomial model
nb_sim                  Simulate recurrent events with fixed follow-up
nb_sim_seasonal         Simulate recurrent events with seasonal rates
preview_pkgdown_site    Preview built pkgdown site in the browser
print.gsNBsummary       Print method for gsNBsummary objects
print.sample_size_nbinom_result
                        Print method for sample_size_nbinom_result
                        objects
print.sample_size_nbinom_summary
                        Print method for sample_size_nbinom_summary
                        objects
run_ssr_shiny           Launch the SSR Shiny prototype
sample_size_nbinom      Sample size calculation for negative binomial
                        outcomes
sim_gs_nbinom           Simulate group sequential clinical trial for
                        negative binomial outcomes
sim_ssr_nbinom          Simulate adaptive group sequential trials with
                        sample size re-estimation
summarize_gs_sim        Summarize group sequential simulation results
summarize_ssr_sim       Summarize adaptive SSR simulation results
summary.gsNB            Summary for gsNB objects
summary.sample_size_nbinom_result
                        Summary for sample_size_nbinom_result objects
toInteger               Convert group sequential design to integer
                        sample sizes
unblinded_ssr           Unblinded sample size re-estimation for
                        recurrent events
update_gsNB             Update group sequential bounds with observed
                        information
