Learn R Programming

⚠️There's a newer version (3.6.9) of this package.Take me there.

gsDesign (version 2.4-01)

Group Sequential Design

Description

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

Copy Link

Version

Install

install.packages('gsDesign')

Monthly Downloads

3,431

Version

2.4-01

License

GPL (>= 2)

Maintainer

Keaven Anderson

Last Published

February 20th, 2011

Functions in gsDesign (2.4-01)

gsProbability

2.2: Boundary Crossing Probabilities
gsDesign

2.1: Design Derivation
gsDensity

2.6: Group sequential design interim density function
nSurvival

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

4.5: Pointwise Spending Function
plot.gsDesign

2.3: Plots for group sequential designs
normalGrid

3.1: Normal Density Grid
gsDesign package overview

1.0 Group Sequential Design
sfPower

4.2: Kim-DeMets (power) Spending Function
sfLinear

4.6: Piecewise Linear Spending Function
Binomial

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

4.4: Lan-DeMets Spending function overview
checkScalar

6.0 Utility functions to verify variable properties
sfExponential

4.3: Exponential Spending Function
sfHSD

4.1: Hwang-Shih-DeCani Spending Function
gsBinomialExact

3.4: One-Sample Exact Binomial Boundary Crossing Probabilities
Wang-Tsiatis Bounds

5.0: Wang-Tsiatis Bounds
gsCP

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

2.6: Boundary derivation - low level
gsBoundSummary

2.8: Bound Summary and Z-transformations
Spending functions

4.0: Spending function overview
gsBoundCP

2.5: Conditional Power at Interim Boundaries
sfLogistic

4.7: Two-parameter Spending Function Families
sfTDist

4.8: t-distribution Spending Function