# Sample Size and Simulation for Negative Binomial Outcomes

## Documentation for package ‘gsDesignNB’ version 0.3.2

- DESCRIPTION file
- User guides, package vignettes and other documentation
- Package NEWS
- Package README

## Help Pages

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_data_by_date.default | Cut simulated trial data at a calendar date
cut_data_by_date.nb_sim_data | Cut simulated trial data at a calendar date
cut_data_by_date.nb_sim_seasonal | 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.mutze_test | Wald or score test for treatment effect using negative binomial model
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
toInteger.gsDesign | Convert group sequential design to integer sample sizes
toInteger.gsNB | 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