gsDesign3.6.4 package

Utility functions to verify variable properties

gsDesign: Group Sequential Design

Convert a summary table object to a gt object

Save a summary table object as an RTF file

Create a summary table

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

One-Sample Binomial Routines

Boundary derivation - low level

Conditional Power at Interim Boundaries

Bound Summary and Z-transformations

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

Group sequential design interim density function

Pipe operator

Design Derivation

Boundary Crossing Probabilities

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

Create multiplicity graphs using ggplot2

Normal distribution sample size (2-sample)

Normal Density Grid

Advanced time-to-event sample size calculation

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

Plots for group sequential designs

Sequential p-value computation

Two-parameter Spending Function Families

Exponential Spending Function

Hwang-Shih-DeCani Spending Function

Lan-DeMets Spending function overview

Piecewise Linear and Step Function Spending Functions

Pointwise Spending Function

Kim-DeMets (power) Spending Function

Truncated, trimmed and gapped spending functions

t-distribution Spending Function

Xi and Gallo conditional error spending functions

Spending Function

Sample size re-estimation based on conditional power

Translate survival design bounds to exact binomial bounds

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

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

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