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’.
An object can be created by a successful call to function selm
.
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.
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") : ... |
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.
Adelchi Azzalini
See also
selm
function, plot.selm
,
summary.selm
, dp2cp
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)
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