Group Sequential Design

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Documentation for package ‘gsDesign’ version 3.6.2

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

Help Pages

as_gt	Convert a summary table object to a gt object
as_gt.gsBinomialExactTable	Convert a summary table object to a gt object
as_rtf	Save a summary table object as an RTF file
as_rtf.gsBinomialExactTable	Save a summary table object as an RTF file
as_rtf.gsBoundSummary	Save a summary table object as an RTF file
as_table	Create a summary table
as_table.gsBinomialExact	Create a summary table
binomialSPRT	One-Sample Binomial Routines
checkLengths	Utility functions to verify variable properties
checkRange	Utility functions to verify variable properties
checkScalar	Utility functions to verify variable properties
checkVector	Utility functions to verify variable properties
ciBinomial	Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates
condPower	Sample size re-estimation based on conditional power
eEvents	Expected number of events for a time-to-event study
gsBinomialExact	One-Sample Binomial Routines
gsBound	Boundary derivation - low level
gsBound1	Boundary derivation - low level
gsBoundCP	Conditional Power at Interim Boundaries
gsBoundSummary	Bound Summary and Z-transformations
gsBValue	Bound Summary and Z-transformations
gsCP	Conditional and Predictive Power, Overall and Conditional Probability of Success
gsCPOS	Conditional and Predictive Power, Overall and Conditional Probability of Success
gsCPz	Bound Summary and Z-transformations
gsDelta	Bound Summary and Z-transformations
gsDensity	Group sequential design interim density function
gsDesign	Design Derivation
gsHR	Bound Summary and Z-transformations
gsPI	Conditional and Predictive Power, Overall and Conditional Probability of Success
gsPOS	Conditional and Predictive Power, Overall and Conditional Probability of Success
gsPosterior	Conditional and Predictive Power, Overall and Conditional Probability of Success
gsPP	Conditional and Predictive Power, Overall and Conditional Probability of Success
gsProbability	Boundary Crossing Probabilities
gsRR	Bound Summary and Z-transformations
gsSurv	Advanced time-to-event sample size calculation
gsSurvCalendar	Time-to-event endpoint design with calendar timing of analyses
hGraph	Create multiplicity graphs using ggplot2
hrn2z	Time-to-event sample size calculation (Lachin-Foulkes)
hrz2n	Time-to-event sample size calculation (Lachin-Foulkes)
isInteger	Utility functions to verify variable properties
nBinomial	Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates
nBinomial1Sample	One-Sample Binomial Routines
nEvents	Time-to-event sample size calculation (Lachin-Foulkes)
nEventsIA	Advanced time-to-event sample size calculation
nNormal	Normal distribution sample size (2-sample)
normalGrid	Normal Density Grid
nSurv	Advanced time-to-event sample size calculation
nSurvival	Time-to-event sample size calculation (Lachin-Foulkes)
plot.binomialSPRT	One-Sample Binomial Routines
plot.gsBinomialExact	One-Sample Binomial Routines
plot.gsDesign	Plots for group sequential designs
plot.gsProbability	Plots for group sequential designs
plot.ssrCP	Sample size re-estimation based on conditional power
Power.ssrCP	Sample size re-estimation based on conditional power
print.eEvents	Expected number of events for a time-to-event study
print.gsBinomialExact	One-Sample Binomial Routines
print.gsBoundSummary	Bound Summary and Z-transformations
print.gsDesign	Bound Summary and Z-transformations
print.gsProbability	Boundary Crossing Probabilities
print.gsSurv	Advanced time-to-event sample size calculation
print.nSurv	Advanced time-to-event sample size calculation
print.nSurvival	Time-to-event sample size calculation (Lachin-Foulkes)
sequentialPValue	Sequential p-value computation
sfBetaDist	Two-parameter Spending Function Families
sfCauchy	Two-parameter Spending Function Families
sfExponential	Exponential Spending Function
sfExtremeValue	Two-parameter Spending Function Families
sfExtremeValue2	Two-parameter Spending Function Families
sfGapped	Truncated, trimmed and gapped spending functions
sfHSD	Hwang-Shih-DeCani Spending Function
sfLDOF	Lan-DeMets Spending function overview
sfLDPocock	Lan-DeMets Spending function overview
sfLinear	Piecewise Linear and Step Function Spending Functions
sfLogistic	Two-parameter Spending Function Families
sfNormal	Two-parameter Spending Function Families
sfPoints	Pointwise Spending Function
sfPower	Kim-DeMets (power) Spending Function
sfStep	Piecewise Linear and Step Function Spending Functions
sfTDist	t-distribution Spending Function
sfTrimmed	Truncated, trimmed and gapped spending functions
sfTruncated	Truncated, trimmed and gapped spending functions
simBinomial	Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates
spendingFunction	Spending Function
ssrCP	Sample size re-estimation based on conditional power
summary.gsDesign	Bound Summary and Z-transformations
summary.spendfn	Spending Function
testBinomial	Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates
tEventsIA	Advanced time-to-event sample size calculation
toBinomialExact	Translate survival design bounds to exact binomial bounds
toInteger	Translate group sequential design to integer events (survival designs) or sample size (other designs)
varBinomial	Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates
xprint	Bound Summary and Z-transformations
xtable	xtable
xtable.gsDesign	Design Derivation
xtable.gsSurv	Advanced time-to-event sample size calculation
z2Fisher	Sample size re-estimation based on conditional power
z2NC	Sample size re-estimation based on conditional power
z2Z	Sample size re-estimation based on conditional power
zn2hr	Time-to-event sample size calculation (Lachin-Foulkes)