Man pages for gsDesign
Group Sequential Design
| binomial | 3.2: Testing, Confidence Intervals, Sample Size and Power for... |
| eEvents | Expected number of events for a time-to-event study |
| gsBinomialExact | 3.4: One-Sample Binomial Routines |
| gsbound | 2.7: Boundary derivation - low level |
| gsBoundCP | 2.5: Conditional Power at Interim Boundaries |
| gsBoundSummary | 2.8: Bound Summary and Z-transformations |
| gsCP | 2.4: Conditional and Predictive Power, Overall and... |
| gsDensity | 2.6: Group sequential design interim density function |
| gsDesign | 2.1: Design Derivation |
| gsDesign-package | 1.0 Group Sequential Design |
| gsProbability | 2.2: Boundary Crossing Probabilities |
| nNormal | Normal distribution sample size (2-sample) |
| normalGrid | 3.1: Normal Density Grid |
| nSurv | Advanced time-to-event sample size calculation |
| nSurvival | 3.4: Time-to-event sample size calculation (Lachin-Foulkes) |
| plot.gsDesign | 2.3: Plots for group sequential designs |
| sfexp | 4.3: Exponential Spending Function |
| sfHSD | 4.1: Hwang-Shih-DeCani Spending Function |
| sfLDPocock | 4.4: Lan-DeMets Spending function overview |
| sfLinear | 4.6: Piecewise Linear and Step Function Spending Functions |
| sflogistic | 4.7: Two-parameter Spending Function Families |
| sfpoints | 4.5: Pointwise Spending Function |
| sfpower | 4.2: Kim-DeMets (power) Spending Function |
| sfTDist | 4.8: t-distribution Spending Function |
| sfTruncated | 4.7a: Truncated, trimmed and gapped spending functions |
| spendingfunctions | 4.0: Spending function overview |
| ssrCP | Sample size re-estimation based on conditional power |
| testutils | 6.0 Utility functions to verify variable properties |
| Wang-Tsiatis-bounds | 5.0: Wang-Tsiatis Bounds |
