fitPS: Fit Zeta Distributions to Forensic Data

Fits Zeta distributions (discrete power laws) to data that arises from forensic surveys of clothing on the presence of glass and paint in various populations. The general method is described to some extent in Coulson, S.A., Buckleton, J.S., Gummer, A.B., and Triggs, C.M. (2001) <doi:10.1016/S1355-0306(01)71847-3>, although the implementation differs.

Version: 1.0.1
Depends: foreach, R (≥ 4.0.0)
Imports: doParallel, dplyr, Hmisc, iterators, knitr, ks, methods, pbapply, Rdpack, readxl, VGAM
Suggests: sp, xtable
Published: 2024-03-20
Author: James Curran [aut, cre]
Maintainer: James Curran <j.curran at auckland.ac.nz>
BugReports: https://github.com/jmcurran/fitPS/issues
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
URL: https://github.com/jmcurran/fitPS
NeedsCompilation: no
Citation: fitPS citation info
CRAN checks: fitPS results

Documentation:

Reference manual: fitPS.pdf
Vignettes: Examples
Using fitPS to fit number of groups data

Downloads:

Package source: fitPS_1.0.1.tar.gz
Windows binaries: r-devel: fitPS_1.0.1.zip, r-release: fitPS_1.0.1.zip, r-oldrel: fitPS_1.0.1.zip
macOS binaries: r-release (arm64): fitPS_1.0.1.tgz, r-oldrel (arm64): fitPS_1.0.1.tgz, r-release (x86_64): fitPS_1.0.1.tgz
Old sources: fitPS archive

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