Hi,
Sorry, I should have said the bigglm() is in the biglm package.
I have tried putting the offset in the model formula as you suggested
but it doesn't make any difference. I was comparing the results of
bigglm() with glm() on a small data set before I applied it to the much
larger data set, this is when I noticed that bigglm() was ignoring the
offset.
BW
Richard
Dennis Murphy said the following on 08/02/2011 19:55:
Hi:
Did you try putting the offset in the model formula, as in
bigglm( y ~ offset(z) + x, ...) ?
I haven't tried bigglm() personally (BTW, it's in the biglm package,
which wasn't mentioned), but this syntax works in the standard glm()
function, so perhaps it maps to bigglm() as well... (?)
HTH,
Dennis
On Tue, Feb 8, 2011 at 6:16 AM, Richard Jacques
<r.jacq...@sheffield.ac.uk <mailto:r.jacq...@sheffield.ac.uk>> wrote:
Dear all,
I have a large data set and would like to fit a logistic regression
model using the bigglm function. I need to include an offset in the
model but when I do this the bigglm function seems to ignore it.
For example, running the two models below produces the same model
and the offset is ignored
bigglm(y~x,offset=z,data=Test,family=binomial(link = "logit"))
bigglm(y~x,data=Test,family=binomial(link = "logit"))
Is it possible to fit an offset using bigglm? And if so, what am I
doing wrong?
Thanks,
Richard
--
Dr Richard Jacques
Medical Statistics Group
School of Health and Related Research
University of Sheffield
Regent Court
30 Regent Street
SHEFFIELD
S1 4DA
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