oc_plan: Construction of Operating Characteristic (OC) curve

In grabsampling: Probability of Detection for Grab Sample Selection

Description

oc_plan provides the Operating Characteristic (OC) curve for known microbiological distribution such as lognormal. The probability of acceptance is plotted against mean log10 concentration.

Usage

oc_plan(c, r, t, distribution, K, m, sd)

Arguments

c	acceptance number
r	number of primary increments in a grab sample or grab sample size
t	number of grab samples
distribution	what suitable distribution we have used such as 'Poisson gamma' or 'Lognormal' or 'Poisson lognormal'
K	dispersion parameter of the Poisson gamma distribution (default value 0.25)
m	microbiological limit with default value zero, generally expressed as number of microorganisms in specific sample weight
sd	standard deviation of the lognormal and Poisson-lognormal distributions on the log10 scale (default value 0.8)

Details

Based on the food safety literature, mean concentration is given by λ = 10^{μ+log(10)σ^2/2}.

Value

Operating Characteristic (OC) curve

See Also

prob_accept

Examples

  c <-  0
  r <-  25
  t <-  30
  distribution <- 'Poisson lognormal'
  oc_plan(c, r, t, distribution)

grabsampling documentation built on March 13, 2020, 5:07 p.m.