# Sample Size and Simulation for Negative Binomial Outcomes

## Documentation for package ‘gsDesignNB’ version 0.2.6

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

## 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
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
mutze_test | Wald test for treatment effect using negative binomial model (Mutze et al.)
nb_sim | Simulate recurrent events with fixed follow-up
nb_sim_seasonal | Simulate recurrent events with seasonal rates
print.gsNBsummary | Print method for gsNBsummary objects
print.mutze_test | Wald test for treatment effect using negative binomial model (Mutze et al.)
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
sample_size_nbinom | Sample size calculation for negative binomial distribution
sim_gs_nbinom | Simulate group sequential clinical trial for negative binomial outcomes
summarize_gs_sim | Summarize group sequential 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