hoa (version 2.1.2)

rsm.null: Fit an Empty Regression-Scale Model

Description

Fits a rsm model with empty model matrix.

Usage

rsm.null(X = NULL, Y, offset, family, dispersion, score.dispersion, maxit, 
         epsilon, trace, ...)

Arguments

X

defaults to NULL.

Y

the response vector.

dispersion

either NULL or TRUE. If NULL, the MLE of the scale parameter is returned. If Huber's least favourable distribution is used and dispersion is TRUE, the

score.dispersion

must default to NULL.

offset

optional offset added to the linear predictor.

family

a family.rsm object, i.e. a list of functions and expressions characterizing the error distribution. Families supported are gaussian, student (Student's t), extreme (Gumbel or extreme val

maxit

maximum number of iterations allowed.

epsilon

convergence threshold.

trace

if TRUE, iterations details are printed during execution.

...

not used, but do absorb any redundant argument.

Value

• an object which is a subset of a rsm object.

Details

The rsm.null function is called internally by the rsm routine to do the actual model fitting in case of an empty model. It is not intended to be used directly by the user. As no weights argument is available, the response Y and the model matrix X must already include the weights if weighting is desired.

See Also

rsm, rsm.surv, rsm.fit, rsm.object, rsm.families