rsm.families {marg} | R Documentation |
Generate a RSM Family Object
Description
Generates a family.rsm
object containing a list of functions
and expressions used by rsm
.
Usage
extreme()
Huber(k = 1.345)
logistic()
logWeibull()
student(df = stop("Argument \"df\" is missing, with no default"))
Arguments
k |
the tuning constant in Huber's least favourable distribution. |
df |
the degrees of freedom in Student's t distribution. |
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
.
Value
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.
See Also
family.rsm.object
, family.rsm
,
rsm
, Huber
Examples
student(df = 3) ## generates Student's t error distribution with 3 d.f.
## Not run:
rsm(formula = value, data = value, family = extreme)
## End(Not run)