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msamp  

Estimate Sample Size to Detect Bacterial Contamination in a Product Lot
View on CRAN: Click here


Download and install msamp package within the R console
Install from CRAN:
install.packages("msamp")

Install from Github:
library("remotes")
install_github("cran/msamp")

Install by package version:
library("remotes")
install_version("msamp", "1.0.0")



Attach the package and use:
library("msamp")
Maintained by
Martine Ferguson
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-10-17
Latest Update: 2022-10-17
Description:
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) "Impact of microbial distributions on food safety". Leroy Simon (1963) "Casualty Actuarial Society - The Negative Binomial and Poisson Distributions Compared".
How to cite:
Martine Ferguson (2022). msamp: Estimate Sample Size to Detect Bacterial Contamination in a Product Lot. R package version 1.0.0, https://cran.r-project.org/web/packages/msamp. Accessed 02 Sep. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited msamp R package
View msamp citation profile
Other R packages that msamp depends, imports, suggests or enhances
Complete documentation for msamp
Functions, R codes and Examples using the msamp R package
Some associated functions: n . p . plotn . 
Some associated R codes: checkInputs.R . msamp.R .  Full msamp package functions and examples
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