Description Usage Arguments Details Value Author(s) References See Also Examples
Bayesian parametric modelling of exposure concentration from presence/absence data.
1 2 3 4 |
x |
A vector indicating the number of positive samples per examined quantity. |
q |
The quantities (e.g., volumes, masses) in which presence/absence was observed; defaults to 1. |
replicates |
The number of replicates of each quantity |
data |
An optional data frame, containing the variables in the model.
If not found in |
model |
A character string naming the model to be fitted;
currently only |
inits |
Named list of initial values; defaults to |
nchains |
Number of model chains, should be ≥ 2; defaults to 2. |
burnin |
Number of samples to discard as burn-in; defaults to 5000. |
update |
Number of samples to retain; defaults to 5000. |
verbose |
Should JAGS process info be printed to the R console?
defaults to |
Available distributions:
Poisson: model = "poisson"
or "p"
An object of class "bea"
.
Haas CN, Rose JB, Gerba CP (1999) Quantitative Microbial Risk Assessment. John Wiley & Sons, Inc.
bea_count
, for modelling exposure from count data
bea_conc
, for modelling exposure from concentration data
1 2 | ## Bayesian exposure assessment from presence/absence data
bea_presence(x = positive, q = volume, rep = replicates, data = coliform)
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