Sample Size and Simulation for Negative Binomial Outcomes

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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