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 [aut, cre]
Maintainer:	Martine Ferguson <martine.ferguson at fda.hhs.gov>
License:	Unlimited
NeedsCompilation:	no
CRAN checks:	msamp results

Documentation:

Reference manual:	msamp.html , msamp.pdf
Vignettes:	msamp: Sample size for detecting microbial contamination (source, R code)

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:

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