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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()These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
Health stats visible at Monitor.