Language: en-GB to DESCRIPTION.plot_rcp1armRMST()
and plot_rcp1armMilestoneSurvival() in
\donttest{}.Calculation functions — each supports
approach = "formula" (closed-form or semi-analytical) and
approach = "simulation" (Monte Carlo), and returns both
Method 1 and Method 2 RCP:
rcp1armContinuous(): Continuous endpoint. Method 1 uses
normal approximation via two-block decomposition; Method 2 uses the
product of independent regional probabilities.rcp1armBinary(): Binary endpoint. Method 1 uses exact
enumeration of the binomial joint distribution; Method 2 uses the
product of independent binomial tail probabilities.rcp1armCount(): Count endpoint (negative binomial
model). Provides RCP on both the log-RR scale and the linear-RR scale
via the reproducibility property of the negative binomial
distribution.rcp1armHazardRatio(): Time-to-event endpoint (hazard
ratio). Closed-form solution based on normal approximation for log(HR)
and the delta method for the linear-HR scale (Hayashi and Itoh 2018).
Supports accrual period, follow-up period, and exponential dropout.rcp1armMilestoneSurvival(): Milestone survival
endpoint. Variance of the Kaplan-Meier estimator derived from
Greenwood’s formula (Tang 2022). Returns "closed-form" when
t_eval <= t_f and "numerical-integration"
otherwise.rcp1armRMST(): Restricted mean survival time (RMST)
endpoint. Variance formula via integration of the squared survival
difference. Returns "closed-form" when
tau_star <= t_f and "numerical-integration"
otherwise.Plot functions — each generates a faceted ggplot2 object overlaying formula and simulation results for Method 1 and Method 2 as a function of the regional allocation proportion f₁:
plot_rcp1armContinuous()plot_rcp1armBinary()plot_rcp1armCount()plot_rcp1armHazardRatio()plot_rcp1armMilestoneSurvival()plot_rcp1armRMST()S3 print methods — print() methods for
all six result classes:
print.rcp1armContinuous()print.rcp1armBinary()print.rcp1armCount()print.rcp1armHazardRatio()print.rcp1armMilestoneSurvival()print.rcp1armRMST()
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