Package index
Sample size calculation
Functions for calculating fixed sample sizes for negative binomial outcomes.
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sample_size_nbinom() - Sample size calculation for negative binomial distribution
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print(<sample_size_nbinom_result>) - Print Method for sample_size_nbinom_result Objects
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summary(<sample_size_nbinom_result>) - Summary for sample_size_nbinom_result Objects
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print(<sample_size_nbinom_summary>) - Print Method for sample_size_nbinom_summary Objects
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gsNBCalendar() - Group sequential design for negative binomial outcomes
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toInteger() - Convert Group Sequential Design to Integer Sample Sizes
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summary(<gsNB>) - Summary for gsNB Objects
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print(<gsNBsummary>) - Print Method for gsNBsummary Objects
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nb_sim() - Simulate recurrent events with fixed follow-up
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nb_sim_seasonal() - Simulate recurrent events with seasonal rates
Analysis
Functions for analyzing trial data, including blinded sample size re-estimation and interim analysis.
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blinded_ssr() - Blinded sample size re-estimation for recurrent events
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calculate_blinded_info() - Calculate blinded statistical information
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mutze_test() - Wald test for treatment effect using negative binomial model (Mütze et al.)
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cut_data_by_date() - Cut simulated trial data at a calendar date
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cut_completers() - Cut data for completers analysis
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cut_date_for_completers() - Find calendar date for target completer count
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compute_info_at_time() - Compute Statistical Information at Analysis Time
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get_analysis_date() - Find calendar date for target event count
gsDesign re-exports
Spending functions and utilities re-exported from the gsDesign package for convenience.
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reexportsgsDesignsfBetaDistsfCauchysfExponentialsfExtremeValuesfExtremeValue2sfGappedsfHSDsfLDOFsfLDPococksfLinearsfLogisticsfNormalsfPointssfPowersfStepsfTDistsfTrimmedsfTruncatedsfXG1sfXG2sfXG3gsBoundSummary - Objects exported from other packages