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  • This is a resubmission. Changes based on reviewer feedback:
    • Replaced direct cat()/print() calls in APCSSA() and APCSSM() with a proper S3 summary.APC() method. The test functions now return objects of class "APC" silently; users call summary.APC() to view results and plots.
    • Removed default file-writing to working directory in save_null(). The path argument is now required (no default). Examples use tempdir().
    • Examples for sim_nullAPCSSA(), sim_nullAPCSSM(), and save_null() use \dontrun{} because these functions spawn parallel processes (via parallel::makeCluster), which is incompatible with CRAN's check environment that limits the number of cores.

Note on R/sysdata.rda

R/sysdata.rda (5.6 KB) contains internal standardization parameters (means and standard deviations) for all 90 supported design configurations. These are required to compute the APCSSA and APCSSM test statistics without any external dependency. The companion package APCinteractionData is only needed for p-value estimation.

Companion data package

Pre-computed null distributions (90 per test statistic, 100,000 simulations each) are provided by the companion package APCinteractionData, available on GitHub at https://github.com/tranbaokhue/APCinteractionData.

This package is listed in Suggests and is not required for core functionality. Two null distribution files are bundled in this package to support the examples. Users can also generate their own null distributions with sim_nullAPCSSA() / sim_nullAPCSSM().

Test environments

  • local macOS (aarch64-apple-darwin24.4.0), R 4.5.1