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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