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: 2026-11-06 21:15:07 UTC; root
Author: Muhammad Zahir Khan [aut, cre]
Maintainer: Muhammad Zahir Khan <zahirstat007@gmail.com>
Repository: https://cran.r-universe.dev
Date/Publication: 2026-11-06 18:08:36 UTC
RemoteUrl: https://github.com/cran/drasR
RemoteRef: HEAD
RemoteSha: b55edce6a834c01b3bced3b2c112bdda97a362e6