fitPS: Fit Probability Models to Forensic Survey Data

Fits probability models to P- and S-type count data arising from forensic surveys of clothing for the background presence of glass, paint, and related trace material. Built-in models include zeta, zero-inflated zeta, and logarithmic distributions, with a public extension interface for additional models. Inference is available by maximum likelihood, parametric Bayesian methods, the ordinary nonparametric bootstrap, and Rubin's Bayesian Bootstrap. The clothing-survey setting is described by Coulson, Buckleton, Gummer, and Triggs (2001) <doi:10.1016/S1355-0306(01)71847-3>.

Version:	1.1.4
Depends:	R (≥ 4.1.0)
Imports:	cubature, doParallel, dplyr, foreach, Hmisc, iterators, knitr, ks, methods, pbapply, Rdpack, readxl, VGAM
Suggests:	rmarkdown, sp, testthat (≥ 3.0.0), xtable
Published:	2026-08-27
DOI:	10.32614/CRAN.package.fitPS
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
Materials:	README, NEWS
CRAN checks:	fitPS results

Documentation:

Reference manual:	fitPS.html , fitPS.pdf
Vignettes:	Getting started with fitPS (source, R code) Adding a new model to fitPS (source, R code) Model comparison with fitPS (source, R code) Quantifying uncertainty with fitPS (source, R code)

Downloads:

Package source:	fitPS_1.1.4.tar.gz
Windows binaries:	r-devel: fitPS_1.1.4.zip, r-release: fitPS_1.1.4.zip, r-oldrel: fitPS_1.1.4.zip
macOS binaries:	r-release (arm64): fitPS_1.1.4.tgz, r-oldrel (arm64): fitPS_1.1.4.tgz, r-release (x86_64): fitPS_1.1.4.tgz, r-oldrel (x86_64): fitPS_1.1.4.tgz
Old sources:	fitPS archive

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