selm-class function

Classes selm and mselm of objects created by function selm

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 . 1.1

class

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") : ...
profile	signature(fitted = "selm") : ...
confint	signature(object = "selm") : ...
predict	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") : ...

Author(s)

Adelchi Azzalini

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.

See Also

See also selm function, plot.selm, summary.selm, dp2cp

Examples

data(ais)
m1 <- selm(log(Fe) ~ BMI + LBM, family="SN", data=ais)
summary(m1)
plot(m1)
logLik(m1)
res <- residuals(m1)
fv <- fitted(m1)
# 
data(wines, package="sn")
m2 <- selm(alcohol ~ malic + phenols, data=wines)
#
m12 <- selm(cbind(acidity, alcohol) ~ phenols + wine, family="SN", data=wines)
coef(m12)
cp <- coef(m12, vector=FALSE)
dp <- coef(m12, "DP", vector=FALSE)
plot(m12)
plot(m12, which=2, col="gray60", pch=20)