| Advanced survival sample size | Advanced time-to-event sample size calculation |
| binomialSPRT | 3.4: One-Sample Binomial Routines |
| checkLengths | 6.0 Utility functions to verify variable properties |
| checkRange | 6.0 Utility functions to verify variable properties |
| checkScalar | 6.0 Utility functions to verify variable properties |
| checkVector | 6.0 Utility functions to verify variable properties |
| ciBinomial | 3.2: Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates |
| condPower | Sample size re-estimation based on conditional power |
| eEvents | Expected number of events for a time-to-event study |
| Expected number of events for survival studies | Expected number of events for a time-to-event study |
| gsBinomialExact | 3.4: One-Sample Binomial Routines |
| gsBound | 2.7: Boundary derivation - low level |
| gsBound1 | 2.7: Boundary derivation - low level |
| gsBoundCP | 2.5: Conditional Power at Interim Boundaries |
| gsBoundSummary | 2.8: Bound Summary and Z-transformations |
| gsBValue | 2.8: Bound Summary and Z-transformations |
| gsCP | 2.4: Conditional and Predictive Power, Overall and Conditional Probability of Success |
| gsCPOS | 2.4: Conditional and Predictive Power, Overall and Conditional Probability of Success |
| gsCPz | 2.8: Bound Summary and Z-transformations |
| gsDelta | 2.8: Bound Summary and Z-transformations |
| gsDensity | 2.6: Group sequential design interim density function |
| gsDesign | 2.1: Design Derivation |
| gsDesign package overview | 1.0 Group Sequential Design |
| gsDesign print, summary and table summary functions | 2.8: Bound Summary and Z-transformations |
| gsHR | 2.8: Bound Summary and Z-transformations |
| gsPI | 2.4: Conditional and Predictive Power, Overall and Conditional Probability of Success |
| gsPOS | 2.4: Conditional and Predictive Power, Overall and Conditional Probability of Success |
| gsPosterior | 2.4: Conditional and Predictive Power, Overall and Conditional Probability of Success |
| gsPP | 2.4: Conditional and Predictive Power, Overall and Conditional Probability of Success |
| gsProbability | 2.2: Boundary Crossing Probabilities |
| gsRR | 2.8: Bound Summary and Z-transformations |
| gsSurv | Advanced time-to-event sample size calculation |
| hrn2z | 3.4: Time-to-event sample size calculation (Lachin-Foulkes) |
| hrz2n | 3.4: Time-to-event sample size calculation (Lachin-Foulkes) |
| isInteger | 6.0 Utility functions to verify variable properties |
| nBinomial | 3.2: Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates |
| nBinomial1Sample | 3.4: One-Sample Binomial Routines |
| nEvents | 3.4: Time-to-event sample size calculation (Lachin-Foulkes) |
| nEventsIA | Advanced time-to-event sample size calculation |
| 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) |
| O'Brien-Fleming Bounds | 5.0: Wang-Tsiatis Bounds |
| plot.binomialSPRT | 3.4: One-Sample Binomial Routines |
| plot.gsBinomialExact | 3.4: One-Sample Binomial Routines |
| plot.gsDesign | 2.3: Plots for group sequential designs |
| plot.gsProbability | 2.3: Plots for group sequential designs |
| plot.ssrCP | Sample size re-estimation based on conditional power |
| Plots for group sequential designs | 2.3: Plots for group sequential designs |
| Pocock Bounds | 5.0: Wang-Tsiatis Bounds |
| Power.ssrCP | Sample size re-estimation based on conditional power |
| print.eEvents | Expected number of events for a time-to-event study |
| print.gsBinomialExact | 3.4: One-Sample Binomial Routines |
| print.gsBoundSummary | 2.8: Bound Summary and Z-transformations |
| print.gsDesign | 2.8: Bound Summary and Z-transformations |
| print.gsProbability | 2.2: Boundary Crossing Probabilities |
| print.gsSurv | Advanced time-to-event sample size calculation |
| print.nSurv | Advanced time-to-event sample size calculation |
| print.nSurvival | 3.4: Time-to-event sample size calculation (Lachin-Foulkes) |
| sfBetaDist | 4.7: Two-parameter Spending Function Families |
| sfCauchy | 4.7: Two-parameter Spending Function Families |
| sfExponential | 4.3: Exponential Spending Function |
| sfExtremeValue | 4.7: Two-parameter Spending Function Families |
| sfExtremeValue2 | 4.7: Two-parameter Spending Function Families |
| sfGapped | 4.7a: Truncated, trimmed and gapped spending functions |
| sfHSD | 4.1: Hwang-Shih-DeCani Spending Function |
| sfLDOF | 4.4: Lan-DeMets Spending function overview |
| 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 |
| sfNormal | 4.7: Two-parameter Spending Function Families |
| sfPoints | 4.5: Pointwise Spending Function |
| sfPower | 4.2: Kim-DeMets (power) Spending Function |
| sfStep | 4.6: Piecewise Linear and Step Function Spending Functions |
| sfTDist | 4.8: t-distribution Spending Function |
| sfTrimmed | 4.7a: Truncated, trimmed and gapped spending functions |
| sfTruncated | 4.7a: Truncated, trimmed and gapped spending functions |
| simBinomial | 3.2: Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates |
| Spending function overview | 4.0: Spending function overview |
| spendingFunction | 4.0: Spending function overview |
| ssrCP | Sample size re-estimation based on conditional power |
| summary.gsDesign | 2.8: Bound Summary and Z-transformations |
| summary.spendfn | 4.0: Spending function overview |
| Survival sample size | 3.4: Time-to-event sample size calculation (Lachin-Foulkes) |
| testBinomial | 3.2: Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates |
| tEventsIA | Advanced time-to-event sample size calculation |
| varBinomial | 3.2: Testing, Confidence Intervals, Sample Size and Power for Comparing Two Binomial Rates |
| Wang-Tsiatis Bounds | 5.0: Wang-Tsiatis Bounds |
| xprint | 2.8: Bound Summary and Z-transformations |
| xtable.gsSurv | Advanced time-to-event sample size calculation |
| z2Fisher | Sample size re-estimation based on conditional power |
| z2NC | Sample size re-estimation based on conditional power |
| z2Z | Sample size re-estimation based on conditional power |
| zn2hr | 3.4: Time-to-event sample size calculation (Lachin-Foulkes) |