Package: msamp 1.0.0

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".

Authors:Martine Ferguson [aut, cre]

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# Install 'msamp' in R:
install.packages('msamp', repos = c('https://m-fer1.r-universe.dev', 'https://cloud.r-project.org'))

Peer review:

On CRAN:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

2.00 score 2 scripts 161 downloads 3 exports 0 dependencies

Last updated 2 years agofrom:65d173b21f. Checks:OK: 3 NOTE: 4. Indexed: yes.

TargetResultDate
Doc / VignettesOKNov 07 2024
R-4.5-winNOTENov 07 2024
R-4.5-linuxNOTENov 07 2024
R-4.4-winNOTENov 07 2024
R-4.4-macNOTENov 07 2024
R-4.3-winOKNov 07 2024
R-4.3-macOKNov 07 2024

Exports:npplotn

Dependencies:

msamp: Sample size for detecting microbial contamination

Rendered frommsamp-vignette.Rmdusingknitr::rmarkdownon Nov 07 2024.

Last update: 2022-10-17
Started: 2022-10-17