Description Usage Arguments Details Value
gev_fit
is used to fit a Generalised Extreme Value (GEV) linear model. This is
a wrapper function, using gev_likfit
and gev_grad
to obtain parameter
estimates via maximum likelihood.
1 2 3 4 5 6 7 |
formulas |
a list with three elements, all objects of class " |
data |
data frame containing all variables listed in |
response |
the observed maxima corresponding to those variables in |
rl_n |
the value of n of which to calculate the return level of period n, if |
links |
a list with three elements, all strings detailing which link function to use for the location, scale and shape parameter in that order |
The formulas
object have formulas specified symbolically, of the form ~ predictor1 + predictor2 + ...
where both predictor1
and predictor2
are variables in data
.
The GEV model is fit by using optim
with the BFGS method.
an S3 object of class "gev
", containing
|
value of the final log-likelihood at the values of |
|
list of maximum likelihood parameter estimates for each GEV distribution parameter |
|
standard errors of the parameters in |
|
list of model matrices used for each parameter |
|
list of link functions inputted |
|
list of formulae inputted |
|
combination of unique elements in all formulae used |
|
data frame inputted |
|
response vector (observed maxima) inputted |
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.