Package: SingleArmMRCT
Type: Package
Title: Regional Consistency Probability for Single-Arm Multi-Regional
        Clinical Trials
Version: 0.1.1
Authors@R: person(
    given  = "Gosuke",
    family = "Homma",
    role   = c("aut", "cre"),
    email  = "my.name.is.gosuke@gmail.com"
  )
Description: Provides functions to calculate and visualise the Regional
    Consistency Probability (RCP) for single-arm multi-regional clinical
    trials (MRCTs) using the Effect Retention Approach (ERA). Six endpoint
    types are supported: continuous, binary, count (negative binomial),
    time-to-event via hazard ratio, milestone survival, and restricted mean
    survival time (RMST). For each endpoint, both a closed-form (or
    semi-analytical) solution and a Monte Carlo simulation approach are
    implemented. Two consistency evaluation methods are available: Method 1
    (effect retention in Region 1 relative to the overall population) and
    Method 2 (simultaneous positive effect across all regions). Plotting
    functions generate faceted visualisations of RCP as a function of the
    regional allocation proportion, overlaying formula and simulation results
    for direct comparison. The methodology follows the Japanese MHLW
    guidelines for MRCTs.
    Abbreviations used: RCP (Regional Consistency Probability), MRCT
    (Multi-Regional Clinical Trial), RMST (Restricted Mean Survival Time),
    MHLW (Ministry of Health, Labour and Welfare).
License: MIT + file LICENSE
Encoding: UTF-8
Language: en-GB
RoxygenNote: 7.3.3
Depends: R (>= 4.1.0)
Imports: stats, ggplot2 (>= 3.4.0)
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
URL: https://gosukehommaEX.github.io/SingleArmMRCT/,
        https://github.com/gosukehommaEX/SingleArmMRCT
BugReports: https://github.com/gosukehommaEX/SingleArmMRCT/issues
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-03-29 07:50:46 UTC; i_lik
Author: Gosuke Homma [aut, cre]
Maintainer: Gosuke Homma <my.name.is.gosuke@gmail.com>
Repository: CRAN
Date/Publication: 2026-04-01 19:50:08 UTC
