summary.tlm {hett} | R Documentation |
summary method for class "tlm"
Description
Summarizes the heteroscedastic t regression object
Usage
## S3 method for class 'tlm'
summary(object, correlation = FALSE, ...)
## S3 method for class 'summary.tlm'
print(x, ...)
Arguments
object |
heteroscedastic t regression object called from |
x |
an object of class " |
correlation |
should the calaculation of the parameter correlation matrix be
supressed. If the fit includes a location and a scale formula then both
correlation matrices are printed. The default is |
... |
arguments passed to or from other methods |
Details
The table summary produced by this function should be used with
caution. A more appropriate test between nested models is to use the
score statistic function tscore
.
Value
a list containing the following components:
loc.summary |
an object containing a list of objects that summarize the location model |
scale.summary |
an object containing a list of objects that summarize the scale model |
iter |
the number of iterations of the algorithm |
dof |
value of the fixed or estimated degrees of freedom |
dofse |
the standard error associated with the degrees of freedom if estimated |
logLik |
the maximised log-likelihood |
method |
the method used to maximize the likelihood |
endTime |
the time taken for the algorithm to converge |
Author(s)
Julian Taylor
See Also
Examples
data(mm, package = "hett")
attach(mm)
## fit a model with heteroscedasticity and estimating the degrees of freedom
tfit2 <- tlm(m.marietta ~ CRSP, ~ CRSP, data = mm, start = list(dof =
3), estDof = TRUE)
summary(tfit2)