ea-class: Class '"ea"'

Description Slots Extends Methods Author(s) See Also

Description

The "ea" class represents output from exposure assessment models. Objects of class "ea" are created by calls to ea_count, ea_conc and ea_presence.

Slots

Objects of class "ea" contain the following slots:

call:

Object of class "language"; original call to exposure assessment function

data:

Object of class "data.frame"; original input data

family:

Object of class "function"; distribution family used to fit the model

gof:

Object of class "gof"; Chi-square goodness of fit

AIC:

Object of class "numeric"; resulting model AIC

mle_call:

Object of class "language"; the call to mle

coef:

Object of class "numeric"; estimated parameters

fullcoef:

Object of class "numeric"; fixed and estimated parameters

vcov:

Object of class "matrix"; approximate variance-covariance matrix

min:

Object of class "numeric"; minimum value of objective function

details:

Object of class "list", as returned from optim

minuslogl:

Object of class "function"; the negative loglikelihood function

nobs:

Object of class "integer"; the number of observations (often NA, when not set in call explicitly).

method:

Object of class "character"; the optimization method used

Extends

Class "mle", directly.

Methods

print

signature(x = "ea")

show

signature(object = "ea")

Author(s)

brechtdv@gmail.com

See Also

ea_count, ea_conc, ea_presence
mle


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