Package: SK4FGA
Type: Package
Title: Scott-Knott for Forensic Glass Analysis
Version: 0.1.1
Authors@R: c(person(given = "Toby",
                    family = "Hayward",
                    role = c("aut", "cre"),
                    email = "tobyhayward13@gmail.com",
                    comment = "Main developer and maintainer of the package."),
            person(given = "James",
                    family = "Curran",
                    role = c("aut", "ctb"),
                    email = "j.curran@auckland.ac.nz",
                    comment = "Supervised and contributed to the development of the package."),
            person(given = "Lewis",
                    family = "Kendall-Jones",
                    role = "ctb",
                    email = "lewiskendalljones@gmail.com",
                    comment = "Wrote and supported the development of the C++ code."))
Maintainer: Toby Hayward <tobyhayward13@gmail.com>
Description: In forensics, it is common and effective practice to
        analyse glass fragments from the scene and suspects to gain
        evidence of placing a suspect at the crime scene. This kind of
        analysis involves comparing the physical and chemical
        attributes of glass fragments that exist on both the person and
        at the crime scene, and assessing the significance in a
        likeness that they share. The package implements the
        Scott-Knott Modification 2 algorithm (SKM2) (Christopher M.
        Triggs and James M. Curran and John S. Buckleton and Kevan A.J.
        Walsh (1997) <doi:10.1016/S0379-0738(96)02037-3> "The grouping
        problem in forensic glass analysis: a divisive approach",
        Forensic Science International, 85(1), 1--14) for small sample
        glass fragment analysis using the refractive index (ri) of a
        set of glass samples. It also includes an experimental
        multivariate analog to the Scott-Knott algorithm for similar
        analysis on glass samples with multiple chemical concentration
        variables and multiple samples of the same item; testing
        against the Hotellings T^2 distribution (J.M. Curran and C.M.
        Triggs and J.R. Almirall and J.S. Buckleton and K.A.J. Walsh
        (1997) <doi:10.1016/S1355-0306(97)72197-X> "The interpretation
        of elemental composition measurements from forensic glass
        evidence", Science & Justice, 37(4), 241--244).
License: GPL (>= 2)
BugReports: https://github.com/tobyhayward13/SCI118UOA_ForensicGlassAnalysis/issues
URL: https://github.com/tobyhayward13/SCI118UOA_ForensicGlassAnalysis
Encoding: UTF-8
LazyData: true
Depends: R (>= 2.10)
RoxygenNote: 7.2.3
LinkingTo: Rcpp
Imports: Rcpp
Repository: https://tobyhayward13.r-universe.dev
Date/Publication: 2023-01-30 22:48:35 UTC
RemoteUrl:
        https://github.com/tobyhayward13/sci118uoa_forensicglassanalysis
RemoteRef: HEAD
RemoteSha: 213c3e94975d2914653159465255f5c61b630aa9
RemoteSubdir: SK4FGA
NeedsCompilation: yes
Packaged: 2026-07-02 08:28:29 UTC; root
Author: Toby Hayward [aut, cre] (Main developer and maintainer of the package.),
  James Curran [aut, ctb] (Supervised and contributed to the development
    of the package.),
  Lewis Kendall-Jones [ctb] (Wrote and supported the development of the
    C++ code.)