ea_presence: Exposure assessment from presence/absence data

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

Parametric modelling of exposure concentration from presence/absence data.

Usage

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ea_presence(x, q = 1, replicates = rep(1, length(x)), data,
            model = c("poisson", "p"), ...)

Arguments

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 q; defaults to rep(1, length(x)).

data

An optional data frame, containing the variables in the model. If not found in data, the variables are taken from the environment from which ea_presence is called.

model

A character string naming the model to be fitted. See details below.

...

Arguments to be passed to mle

Details

Available distributions:

Value

An object of class "ea".

Author(s)

[email protected]

References

See Also

ea_count, for modelling exposure from count data
ea_conc, for modelling exposure from concentration data

Examples

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## exposure assessment from presence/absence data
ea_presence(x = positive, q = volume, rep = replicates, data = coliform)

brechtdv/QMRA documentation built on May 13, 2019, 5:06 a.m.