Package index • gsDesignCRT

Group Sequential CRT Sample Size Computation

For an overview of how to use the gsDesignCRT package, see vignette("example").

gsDesignCRT(): Compute stopping boundaries, maximum sample size, and expected sample sizes for a group sequential cluster randomized trial.

Group Sequential CRT Boundary Computation

gsUpperCRT(): Boundary derivation for efficacy stopping only.

gsLowerCRT(): Boundary derivation for binding or non-binding futility stopping only.

gsBoundsCRT(): Boundary derivation for efficacy and binding or non-binding futility stopping.

Group Sequential CRT Stopping Probability

gsProbabilityCRT(): Compute stopping boundary crossing probabilities.

Simulate Group Sequential CRT

gsSimContCRT(): Simulate group sequential cluster-randomized trial with continuous outcomes.

gsSimBinCRT(): Simulate group sequential cluster-randomized trial with binary outcomes

genContCRT(): Simulate cluster-randomized trial data with continuous outcomes

genBinCRT(): Simulate cluster-randomized trial data with binary outcomes

Spending Functions

For an overview of spending functions, see vignette("SpendingFunctionOverview").

spendingFunction(): Spending Function

sfLDOF() sfLDPocock(): Lan-DeMets Spending function overview

sfHSD(): Hwang-Shih-DeCani Spending Function

sfPower(): Kim-DeMets (power) Spending Function

sfExponential(): Exponential Spending Function

sfLogistic() sfBetaDist() sfCauchy() sfExtremeValue() sfExtremeValue2() sfNormal(): Two-parameter Spending Function Families

sfTDist(): t-distribution Spending Function

sfLinear() sfStep(): Piecewise Linear and Step Function Spending Functions

sfPoints(): Pointwise Spending Function

sfTruncated() sfTrimmed() sfGapped(): Truncated, trimmed and gapped spending functions

Utility Functions

checkLengths() checkRange() checkScalar() checkVector() isInteger(): Utility functions to verify variable properties