Man pages for gsDesign
Group Sequential Design

binomial3.2: Testing, Confidence Intervals, Sample Size and Power for...
eEventsExpected number of events for a time-to-event study
gsBinomialExact3.4: One-Sample Binomial Routines
gsbound2.7: Boundary derivation - low level
gsBoundCP2.5: Conditional Power at Interim Boundaries
gsBoundSummary2.8: Bound Summary and Z-transformations
gsCP2.4: Conditional and Predictive Power, Overall and...
gsDensity2.6: Group sequential design interim density function
gsDesign2.1: Design Derivation
gsDesign-package1.0 Group Sequential Design
gsProbability2.2: Boundary Crossing Probabilities
nNormalNormal distribution sample size (2-sample)
normalGrid3.1: Normal Density Grid
nSurvAdvanced time-to-event sample size calculation
nSurvival3.4: Time-to-event sample size calculation (Lachin-Foulkes)
plot.gsDesign2.3: Plots for group sequential designs
sfexp4.3: Exponential Spending Function
sfHSD4.1: Hwang-Shih-DeCani Spending Function
sfLDPocock4.4: Lan-DeMets Spending function overview
sfLinear4.6: Piecewise Linear and Step Function Spending Functions
sflogistic4.7: Two-parameter Spending Function Families
sfpoints4.5: Pointwise Spending Function
sfpower4.2: Kim-DeMets (power) Spending Function
sfTDist4.8: t-distribution Spending Function
sfTruncated4.7a: Truncated, trimmed and gapped spending functions
spendingfunctions4.0: Spending function overview
ssrCPSample size re-estimation based on conditional power
testutils6.0 Utility functions to verify variable properties
Wang-Tsiatis-bounds5.0: Wang-Tsiatis Bounds
gsDesign documentation built on May 31, 2017, 2:15 a.m.