Description Usage Arguments Details Value Author(s) References See Also Examples
Fit a linear model by robust regression using the Huber estimator.
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formula 
a formula of the form y ~ x1 + x2 + ... 
maxit 
the limit on the number of IWLS iterations. 
k 
tuning constant used for Huber proposal 2 scale estimation. 
data 
data frame from which variables specified in formula are preferentially to be taken. 
model 
should the model frame be returned in the object? 
na.action 
A function to specify the action to be taken if NAs
are found. The 'factoryfresh' default action in R is

method 
currently, method="rlm" and "joint" are supported. 
x 
should the model frame be returned in the object? 
y 
should the model matrix be returned in the object? 
offset 
numeric of length n. This can be used to specify an a priori known component to be included in the linear predictor during fitting. 
cov.formula 
are the methods to compute covariance matrix, currently either weighted or asymptotic. 
start 
vector containing starting values for the parameters in the predictor. 
... 

Fitting is done by iterated reweighted least squares (IWLS). This customized version of robust linear model deal with wild ouliers using log link in joint modelling heterogeneous variance of covariates.
An object of class "RLM" inheriting from "lm".
Stefano Calza <stefano.calza@biostatistics.it>, Suo Chen and Yudi Pawitan.
Pawitan, Y. 'In All Likelihood: Statistical Modeling and Inference Using Likelihood', (2001, Oxford University Press); Huber, P. J. , Robust Statistics, (1981. Wiley).
RLM
is modified from "rlm"
in the MASS
, "rlmFit"
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