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gsDesign (version 2.8-8)

Group Sequential Design

Description

gsDesign is a package that derives group sequential designs and describes their properties.

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Version

Install

install.packages('gsDesign')

Monthly Downloads

6,424

Version

2.8-8

License

GPL (>= 2)

Maintainer

Keaven Anderson

Last Published

January 3rd, 2014

Functions in gsDesign (2.8-8)

gsBinomialExact

3.4: One-Sample Exact Binomial Boundary Crossing Probabilities

checkScalar

6.0 Utility functions to verify variable properties

gsDensity

2.6: Group sequential design interim density function

gsDesign package overview

1.0 Group Sequential Design

normalGrid

3.1: Normal Density Grid

Wang-Tsiatis Bounds

5.0: Wang-Tsiatis Bounds

gsCP

2.4: Conditional and Predictive Power, Overall and Conditional Probability of Success

Spending functions

4.0: Spending function overview

sfPower

4.2: Kim-DeMets (power) Spending Function

nSurv

Advanced time-to-event sample size calculation

Binomial

3.2: Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates

gsBoundSummary

2.8: Bound Summary and Z-transformations

sfTDist

4.8: t-distribution Spending Function

sfPoints

4.5: Pointwise Spending Function

sfTruncated

4.7a: Truncated spending functions

sfLDOF

4.4: Lan-DeMets Spending function overview

gsProbability

2.2: Boundary Crossing Probabilities

nNormal

Normal distribution sample size (2-sample)

sfHSD

4.1: Hwang-Shih-DeCani Spending Function

sfExponential

4.3: Exponential Spending Function

gsBound

2.6: Boundary derivation - low level

nSurvival

3.4: Time-to-event sample size calculation (Lachin-Foulkes)

ssrCP

Sample size re-estimation based on conditional power

sfLinear

4.6: Piecewise Linear Spending Function

eEvents

Expected number of events for a time-to-event study

gsDesign

2.1: Design Derivation

plot.gsDesign

2.3: Plots for group sequential designs

sfLogistic

4.7: Two-parameter Spending Function Families

gsBoundCP

2.5: Conditional Power at Interim Boundaries