| Apply.calendar.censoring | Function to apply a given calendar time as effective censoring time. |
| Apply.calendar.censoring.2 | Function to apply a given calendar time as effective censoring time for two-sample composite endpoint data. |
| find.beta.trt | Function to solve for treatment effect size given target power for two-sample tests. |
| find.c | Function to solve for a group sequential critical value at a given stage |
| find.Delta.given.power | Function to solve for the mean frequency effect size given target power for one-sample simulations. |
| find.lambda_0.given.Delta | Function to solve for the baseline recurrent event rate given a mean frequency difference for one-sample simulations. |
| find.lambda_0.given.mu0 | Function to solve for the baseline recurrent event rate given a target mean frequency for one-sample simulations. |
| OBF | O'Brien-Flemming error spending function. |
| OneSample.Estimator.sequential | Function to estimate the one-sample mean frequency under a group sequential design. |
| Onesample.generate.sequential | Function to simulate one-sample composite endpoint data under staggered entry. |
| Solve.beta.given.power | Function to solve for the treatment effect parameter to achieve target power by Monte Carlo simulation. |
| True.mu | Function to calculate the true value of the mean frequency function. |
| TwoSample.Boundary.TTFE | Function to calculate the sequential rejection boundaries for the time-to-first-event (TTFE) method. |
| TwoSample.Constant.GT | Function to compute calibration constants for the two-sample generalized-t statistics. |
| TwoSample.Constant.LR | Function to compute calibration constants for the two-sample generalized log-rank statistics. |
| TwoSample.Estimator.GT.sequential | Function to calculate the two-sample generalized-t statistic for composite endpoint under sequential monitoring. |
| TwoSample.Estimator.LR.sequential | Function to calculate the two-sample generalized log-rank statistic for composite endpoint under sequential monitoring. |
| TwoSample.Estimator.TTFE.sequential | Function to calculate the Z statistics and variance for the time-to-first-event (TTFE) method. |
| TwoSample.generate.sequential | Function to simulate two-sample composite endpoint data under staggered entry. |
| TwoSample.Q.Cov.Estimator.Sequential.GT | Function to calculate stage-wise test statistics, variances, and correlation for two-sample generalized-t statistics. |
| TwoSample.Q.Cov.Estimator.Sequential.LR | Function to calculate stage-wise test statistics, variances, and correlation for two-sample generalized log-rank statistics. |
| TwoSample.Wald.and.Boundary | Function to calculate the Wald statistics and group sequential boundaries for two-sample monitoring. |
| TwoSample.Z.Var.Estimator.Sequential.TTFE | Function to calculate the two-sample time-to-first-event (TTFE) statistics and variances across multiple calendar times. |