R: Classes 'selm' and 'mselm' of objects created by function...
selm-class
R Documentation
Classes selm and mselm of objects created by
function selm
Description
A successful call to function selm creates an object of
either of these classes, having a structure described in section
‘Slots’. A set of methods for these classes of objects exist, listed in
section ‘Methods’.
Objects from the class
An object can be created by a successful call to function selm.
Slots
call:
the calling statement.
family:
the parametric family of skew-ellitically
contoured distributed (SEC) type.
logL:
log-likelihood or penalized log-likelihood value
achieved at the end of the maximization process.
method:
estimation method ("MLE" or "MPLE").
param:
estimated parameters, for various parameterizations.
param.var:
approximate variance matrices of the parameter
estimates, for various parameterizations.
size:
a numeric vector with size of various components.
fixed.param:
a vector of parameters which have been kept
fixed in the fitting process, if any.
residuals.dp:
residual values, for DP-type parameters.
fitted.values.dp:
fitted values, for DP-type parameters.
control:
a list with control parameters.
input:
a list of selected input values.
opt.method:
a list with details on the optimization method.
Methods
coef
signature(object = "selm"): ...
logLik
signature(object = "selm"): ...
plot
signature(x = "selm"): ...
show
signature(object = "selm"): ...
summary
signature(object = "selm"): ...
residuals
signature(object = "selm"): ...
fitted
signature(object = "selm"): ...
vcov
signature(object = "selm"): ...
weights
signature(object = "selm"): ...
coef
signature(object = "mselm"): ...
logLik
signature(object = "mselm"): ...
plot
signature(x = "mselm"): ...
show
signature(object = "mselm"): ...
summary
signature(object = "mselm"): ...
residuals
signature(object = "mselm"): ...
fitted
signature(object = "mselm"): ...
vcov
signature(object = "mselm"): ...
weights
signature(object = "mselm"): ...
Note
See dp2cp for a description of possible parameter sets.
When logLik is used on an object obtained using the MPLE estimation
method, the value reported is actually the penalized log-likelihood.
Author(s)
Adelchi Azzalini
See Also
See also
selm function, plot.selm,
summary.selm, dp2cp