texmexFamily | R Documentation |
Create families of distributions for use with extreme value modelling.
texmexFamily(name, log.lik, param, info = NULL, sandwich =
NULL, start = NULL, resid = NULL, rl, delta, endpoint, density,
rng, prob, quant)
## S3 method for class 'texmexFamily'
print(x,...)
## S3 method for class 'texmexFamily'
summary(object,...)
## S3 method for class 'summary.texmexFamily'
print(x,...)
name |
The name of the distribution. |
log.lik |
The distribution's log-likelihood function. |
param |
The names of the parameters in the model. |
info |
Function to compute the information matrix. If not provided, the modelling functions will work with a numerical approximation. |
sandwich |
Function to compute the filling in the Huber
sandwich estimator of the covariance matrix of parameter
estimates, used for dependent data. Only implemented in family
|
start |
Function to compute starting parameters for the model. If not provided, the modelling functions will try to guess. |
resid |
Function to compute residuals for the model. |
rl |
Function to compute return levels. |
delta |
Function to compute adjustments for covariance for return levels. |
endpoint |
Function to compute the upper or lower endpoint of the fitted distribution. |
density |
Function to compute the density. |
rng |
Function for random number generation. |
prob |
Function to compute cumulative probabilities. |
quant |
Function to compute quantiles. |
... |
Additional arguments to the print and summary methods. |
x , object |
An object of class 'texmexFamily'. |
The density
, rng
, prob
and quant
functions can be simple wrappers for the usual d, r, p and q
functions. They should take a matrix with number of columns equal
to the number of parameters, and a fitted model object even if the
model object is not used by the function.
Examples of "texmexFamily" objects are gpd
, gev
, glo
,
gpdIntCensored
, weibull
, gumbel
and egp3
. Take a look at
those objects to see how the functions should be constructed.
The functions are used by the modelling functions to create diagnostic plots, predictions, etc..
A object of class "texmexFamily", which is essentially a
list containing the input arguments. If info
,
sandwich
, start
, resid
are not provided,
they default to NULL
.
The gpd
, gev
, weibull
, generalised logistic (glo
),
gumbel
, gpdIntCensored
and egp3
families are provided.
The evm
function defaults to using the gpd
family.
Harry Southworth
evm
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