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msamp: Estimate Sample Size to Detect Bacterial Contamination in a Product Lot

Estimates the sample size needed to detect microbial contamination in a lot with a user-specified detection probability and user-specified analytical sensitivity. Various patterns of microbial contamination are accounted for: homogeneous (Poisson), heterogeneous (Poisson-Gamma) or localized(Zero-inflated Poisson). Ida Jongenburger et al. (2010) <doi:10.1016/j.foodcont.2012.02.004> "Impact of microbial distributions on food safety". Leroy Simon (1963) <doi:10.1017/S0515036100001975> "Casualty Actuarial Society - The Negative Binomial and Poisson Distributions Compared".

Version: 1.0.0
Imports: graphics, stats, grDevices
Suggests: knitr, rmarkdown
Published: 2022-10-17
DOI: 10.32614/CRAN.package.msamp
Author: Martine Ferguson ORCID iD [aut, cre]
Maintainer: Martine Ferguson <martine.ferguson at fda.hhs.gov>
License: Unlimited
NeedsCompilation: no
CRAN checks: msamp results

Documentation:

Reference manual: msamp.pdf
Vignettes: msamp: Sample size for detecting microbial contamination

Downloads:

Package source: msamp_1.0.0.tar.gz
Windows binaries: r-devel: msamp_1.0.0.zip, r-release: msamp_1.0.0.zip, r-oldrel: msamp_1.0.0.zip
macOS binaries: r-release (arm64): msamp_1.0.0.tgz, r-oldrel (arm64): msamp_1.0.0.tgz, r-release (x86_64): msamp_1.0.0.tgz, r-oldrel (x86_64): msamp_1.0.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=msamp to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.