Package: drasR
Type: Package
Title: Drift-Aware Risk-Guaranteed Acceptance Sampling
Version: 0.1.0
Authors@R: person("Muhammad Zahir", "Khan", email = "zahirstat007@gmail.com",
    role = c("aut", "cre"))
Description: Implements drift-aware risk-guaranteed acceptance sampling methods
    for adaptive lot disposition. The package provides tools for classical
    acceptance sampling, producer-risk and consumer-risk assessment,
    exponentially weighted moving average drift monitoring, adaptive
    tightening policies, decision fragility analysis, and safety-cost Pareto
    frontier construction. Classical binomial acceptance-plan design is
    described in the NIST/SEMATECH e-Handbook of Statistical Methods
    <https://www.itl.nist.gov/div898/handbook/pmc/section2/pmc232.htm>.
    Exponentially weighted moving averages follow Roberts (1959)
    <doi:10.1080/00401706.1959.10489860>. The methods are intended for
    simulation studies, supplier quality monitoring, and audit-oriented
    inspection decision support.
License: MIT + file LICENSE
Encoding: UTF-8
Depends: R (>= 4.1.0)
Imports: stats, graphics, utils
Suggests: testthat (>= 3.0.0), knitr, rmarkdown
VignetteBuilder: knitr
Config/testthat/edition: 3
Config/roxygen2/version: 8.1.1
URL: https://github.com/zerish12/drasR
BugReports: https://github.com/zerish12/drasR/issues
RoxygenNote: 7.3.3
LazyData: true
NeedsCompilation: no
Packaged: 2026-10-23 00:17:04 UTC; muhammadzahirkhan
Author: Muhammad Zahir Khan [aut, cre]
Maintainer: Muhammad Zahir Khan <zahirstat007@gmail.com>
Repository: CRAN
Date/Publication: 2026-11-06 12:30:07 UTC
