Generates a family.rsm object containing a list of functions
and expressions used by rsm.
extreme()
Huber(k = 1.345)
logistic()
logWeibull()
student(df = stop("Argument \"df\" is missing, with no default"))the tuning constant in Huber's least favourable distribution.
the degrees of freedom in Student's t distribution.
A family.rsm object, which is a list of functions and
expressions used by rsm in the iteratively reweighted
least-squares algorithm. See family.rsm.object for
details.
Each of the names are associated with a member of the class of error
distributions for regression-scale models. Users can construct
their own families, as long as they have components compatible with
those given in rsm.distributions. The demonstration file
margdemo.R that accompanies the package shows how to
create a new generator function. When passed as an argument to
rsm with the default setting, the empty parentheses
() can be omitted. There is a print method for the
class family.rsm.
# NOT RUN {
student(df = 3) ## generates Student's t error distribution with 3 d.f.
# }
# NOT RUN {
rsm(formula = value, data = value, family = extreme)
# }
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