Description Slots Extends Methods Author(s) See Also
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
.
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
Class "mle"
, directly.
signature(x = "ea")
signature(object = "ea")
ea_count
, ea_conc
, ea_presence
mle
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