Description Usage Arguments Value References See Also Examples
The family object provide an specify details of the model used by functions such as elliptical
, gwer
and gwer.multiscale
. The distribution functions are necessary to specify the random component of the regression models with elliptical errors.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 | ## S3 method for class 'elliptical'
family(object, ...)
Normal()
Cauchy()
LogisI()
LogisII()
Student(df = stop("no df argument"))
Powerexp(k = stop("no k argument"))
Glogis(parma = stop("no alpha=alpha(m) or m argument"))
Gstudent(parm = stop("no s or r argument"))
Cnormal(parmt = stop("no epsi or sigma argument"))
|
object |
an object with the result of the fitted elliptical regression model. |
... |
arguments to be used to form the default control argument if it is not supplied directly. |
df |
degrees of freedom. |
k |
shape parameter. |
parma |
parameter vector (alpha, m). |
parm |
parameter vector (s, r) for this distribuition. |
parmt |
parameters vector (epsi, sigma). |
An object of class “family” specifying a list with the follows elements:
family |
character: the family name. |
g0, g1, g2, g3, g4, g5 |
derived fuctions associated with the distribution family defined. |
df |
degree of freedom for t-Student distribution. |
s, r |
shape parameters for generalized t-Student distribution. |
alpha |
shape parameter for contaminated normal and generalized logistic distributions. |
mp |
shape parameter for generalized logistic distribution. |
epsi,sigmap |
dispersion parameters for contaminated normal distribution. |
k |
shape parameter for power exponential distribution. |
Fang, K. T., Kotz, S. and NG, K. W. (1990, ISBN:9781315897943). Symmetric Multivariate and Related Distributions. London: Chapman and Hall.
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