Changes in version 0.1.1 (2026-04-01)                  

Resubmission to CRAN

  - Added Language: en-GB to DESCRIPTION.
  - Expanded abbreviations (RCP, MRCT, RMST, MHLW) in DESCRIPTION.
  - Fixed invalid URL in DESCRIPTION (BugReports and URL fields now
    point to the correct GitHub repository:
    gosukehommaEX/SingleArmMRCT).
  - Wrapped long-running examples for plot_rcp1armRMST() and
    plot_rcp1armMilestoneSurvival() in \donttest{}.

                        Changes in version 0.1.0                        

Initial release

New functions

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()