gsDesign3.6.5 package

Group Sequential Design

as_gt

Convert a summary table object to a gt object

as_rtf

Save a summary table object as an RTF file

as_table

Create a summary table

checkScalar

Utility functions to verify variable properties

eEvents

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

gsBinomialExact

One-Sample Binomial Routines

gsBound

Boundary derivation - low level

gsBoundCP

Conditional Power at Interim Boundaries

gsBoundSummary

Bound Summary and Z-transformations

gsCP

Conditional and Predictive Power, Overall and Conditional Probability ...

gsDensity

Group sequential design interim density function

gsDesign-package

gsDesign: Group Sequential Design

gsDesign

Design Derivation

gsProbability

Boundary Crossing Probabilities

gsSurvCalendar

Time-to-event endpoint design with calendar timing of analyses

hGraph

Create multiplicity graphs using ggplot2

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)

pipe

Pipe operator

plot.gsDesign

Plots for group sequential designs

sequentiaPValue

Sequential p-value computation

sfDistribution

Two-parameter Spending Function Families

sfExponential

Exponential Spending Function

sfHSD

Hwang-Shih-DeCani Spending Function

sfLDOF

Lan-DeMets Spending function overview

sfLinear

Piecewise Linear and Step Function Spending Functions

sfPoints

Pointwise Spending Function

sfPower

Kim-DeMets (power) Spending Function

sfSpecial

Truncated, trimmed and gapped spending functions

sfTDist

t-distribution Spending Function

sfXG

Xi and Gallo conditional error spending functions

spendingFunction

Spending Function

ssrCP

Sample size re-estimation based on conditional power

toBinomialExact

Translate survival design bounds to exact binomial bounds

toInteger

Translate group sequential design to integer events (survival designs)...

varBinomial

Testing, Confidence Intervals, Sample Size and Power for Comparing Two...

xtable

xtable

Derives group sequential clinical trial designs and describes their properties. Particular focus on time-to-event, binary, and continuous outcomes. Largely based on methods described in Jennison, Christopher and Turnbull, Bruce W., 2000, "Group Sequential Methods with Applications to Clinical Trials" ISBN: 0-8493-0316-8.

  • Maintainer: Keaven Anderson
  • License: GPL (>= 3)
  • Last published: 2024-11-14